Glint Tech Solutions LLC

Draft AI standards, engineer controls, and document governance processes for audit and operational handover. | 5+ years in technology governance, IT risk, or compliance with strong cloud and AI system knowledge. | Job Title: AI Governance Engineer – Standards & Controls Location: Remote (USA) or on-site in Buffalo, NY / Wilmington, DE (preference for candidates near these locations) Company Overview Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada. Project Description The AI Governance Engineer serves as the technical production engine behind our client's AI standards and controls build-out, working under the direction of the AI Governance & Controls Lead. This is a technical governance role focused on drafting standards, engineering controls as implementable/testable requirements, building control-to-evidence mappings, and producing documentation and automation that make governance operational. Key Responsibilities Draft and iterate the AI standards library: model onboarding/approval, oversight tiers, logging/retention, agentic guardrails, data classification, acceptable use Engineer each control as a testable requirement (definition, enforcement point, owner, evidence artifact, validation method) Build and maintain obligation-to-control-to-evidence mappings against regulatory guidance and internal policy Contribute to policy-as-code and controls-automation approaches with the platform team Produce evidence artifacts, control attestations, and assessment documentation for deviations/exceptions Validate platform-generated evidence (audit logs, entitlement records, quota enforcement) against control requirements Support deviation/exception lifecycle management: drafting, compensating controls, tracking, closure evidence Assemble components of examiner-readiness and audit-response packages Support AI Control Group, working group, and committee operations Maintain AI use case/agent registry data quality Document governance processes, runbooks, and templates for FTE handover Transfer working knowledge to bank FTEs throughout the engagement Mandatory Skills Minimum 5 years' experience in technology governance, IT risk/controls, security governance engineering, or compliance engineering Demonstrated experience writing technical standards or control frameworks mapped to regulatory/policy obligations Working technical knowledge of cloud platforms and modern application patterns (APIs/gateways, identity/RBAC, logging/monitoring, environment separation) Familiarity with AI/GenAI systems sufficient to write enforceable requirements for model access, oversight, and logging Strong technical writing and documentation discipline Experience with GRC processes: exceptions, findings, evidence collection, remediation tracking Nice-to-Have Skills Financial services or other highly regulated industry experience; familiarity with model risk management Experience with policy-as-code, compliance automation, or controls testing automation Familiarity with NIST AI RMF, SR 11-7/SR 26-2 lineage, or comparable AI governance frameworks Azure experience (APIM, Entra ID, Azure Monitor, Key Vault)

Design and develop core services for an enterprise notifications platform using Java and cloud-native technologies, including AI/GenAI capabilities. | Bachelor's degree and over 8 years of Java backend development experience with AWS and AI/GenAI implementation. | Job Title: Senior Java Developer with AI Experience Location: Chicago, Illinois (Hybrid – 3 days/week onsite, locals only) Company Overview Glint Tech Solutions is a women-owned global IT staffing and recruiting firm serving clients across the USA and Canada. We connect top-tier technical talent with leading enterprise organizations. Project Description Our client, a leading enterprise organization, is seeking a Senior Java Developer with hands-on AI/GenAI experience to join its Digital Technology team supporting the enterprise Notifications platform. This is a hands-on senior individual contributor role focused on designing, developing, and modernizing notification platform services, event-driven integrations, and AI-enabled communication capabilities. This is not a management role — the expectation is active coding, debugging, and production delivery. Key Responsibilities Design and implement core services for the enterprise Notifications platform, including APIs, event-driven integrations, and orchestration components Write, review, debug, and optimize production code hands-on Build cloud-native backend services using Java, Spring Boot, Apache Camel, microservices, and AWS Develop and integrate AI/GenAI capabilities including prompt design, LLM integration, RAG pipelines, embeddings/vector search, semantic search, classification, and summarization Prototype, validate, and productionize AI features, factoring in latency, accuracy, cost, and reliability Design for high availability, scalability, resiliency, observability, and security Support integrations with internal systems, eventing platforms, and vendor-managed services Troubleshoot complex production issues including performance and integration failures Collaborate with architects, product owners, and stakeholders to convert requirements into working solutions Contribute to technical design, code reviews, automated testing, and CI/CD practices Mentor developers through code-level guidance while remaining primarily hands-on Mandatory Skills Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience 8+ years overall software engineering and SDLC delivery experience 8+ years hands-on Java backend development (Spring Boot, REST APIs, microservices) 3+ years hands-on experience with event-driven systems, messaging, or notification platforms Hands-on experience with Apache Camel or equivalent integration frameworks 4+ years hands-on AWS experience (EC2, S3, RDS, VPC, CloudFront, Lambda, EKS, ECS, API Gateway, DynamoDB, DocumentDB, AmazonMQ) Strong hands-on AI/GenAI implementation experience in production-grade applications Practical experience with LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, or AI-assisted workflow automation Understanding of responsible AI and secure AI practices — data privacy, guardrails, evaluation, monitoring, auditability Experience with observability tools (Dynatrace, ELK Stack, CloudWatch) Experience in agile delivery environments with CI/CD, automated testing, and production support Strong analytical and independent problem-solving skills Effective communication with technical and non-technical stakeholders Nice-to-Have Skills Experience designing enterprise notification, communication, or eventing platform solutions Experience with Twilio or similar communication/messaging platforms Applying AI to communication use cases (personalization, routing, prioritization, intent classification, anomaly detection) AI observability, LLMOps/MLOps practices, model/prompt evaluation AWS certification or equivalent High-scale, 24x7 production environment experience Airline, travel, customer platforms, or crew operations domain experience

Lead enterprise AI platform enablement with technical controls, governance, and cost management using AWS-native tools. | 6+ years engineering experience with 1-2 years in AI/cloud platform enablement, proficient in Python, AWS, Infrastructure as Code, and GenAI architectures. | Job Title: Senior AI Platform Engineer Location: New York (Hybrid – 4 days/week onsite) Interview Process: Onsite interview required Company Overview Glint Tech Solutions is a women-owned global IT staffing and recruiting firm serving clients across the USA and Canada. We connect top-tier technical talent with leading enterprise organizations. Project Description Our client, a leading enterprise organization, is seeking a Senior AI Platform Engineer to drive AI platform enablement across the enterprise. This role sits at the intersection of engineering, governance, and user enablement, working closely with Information Security, Risk, Legal, and Compliance teams to define platform controls and implement them through configuration and code. The engineer will also manage enterprise AI cost — ensuring tokens, credits, and platform spend are tracked and optimized. Key Responsibilities Lead AI platform enablement across enterprise AI tools (OpenAI, Gemini, Anthropic, Amazon Bedrock, LLM gateways, agentic frameworks) Coordinate with Security, Risk, Compliance, and Legal to review and agree on platform controls and guardrails Translate agreed compliance/security requirements into technical controls (IAM policies, guardrails, content filters, logging, rate limits, data-access controls) Document controls and maintain audit/compliance evidence Manage token budgets, usage quotas, and rate limits across providers; build cost dashboards and anomaly alerting Provide user support on credit/usage limits, quota management, and AI usage best practices Troubleshoot issues related to skills, agents, MCP integrations, and API usage Design and maintain LLM pipelines, agentic workflows, and Graph/RAG architectures using Python and AWS-native tooling Implement cloud-native solutions (EKS, Lambda, Fargate, Glue, Athena) Automate provisioning and cost guardrails using Infrastructure as Code Own end-to-end delivery of platform initiatives using Agile (Scrum/Kanban) Mandatory Skills 6+ years progressive engineering experience, including 1-2+ years in AI/cloud platform or emerging-tech enablement Experience partnering with InfoSec, Risk, and Compliance teams to implement technical controls in regulated environments Hands-on experience with IAM/access policies, guardrails, audit logging, and quota/rate limiting GenAI models (GPT, Claude, Gemini, LLaMA) and prompt engineering Agentic AI, MCP, and Graph/RAG architectures AWS services: Bedrock, EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation Infrastructure as Code (Terraform, Puppet, Docker) and containerized deployments Python (NumPy, Pandas, Boto3) for automation and platform tooling Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune) Automated testing/evaluation frameworks (Ragas, Playwright, Selenium, Zephyr) SDLC, DevSecOps, Agile Scrum/Kanban, JIRA/Confluence/JIRA Align Strong stakeholder management and communication across technical and business teams Nice-to-Have Skills BI tools (QuickSight, Tableau) for usage/cost reporting Knowledge of financial markets and enterprise data systems

Lead product strategy and roadmap for internal data platforms and tooling, collaborating with engineering and data science teams to build scalable infrastructure. | 5+ years product management with hands-on engineering or data science skills in Python, AWS, SQL, and big data technologies. | About the Role We are looking for a highly technical Senior Product Manager to drive the roadmap for our internal data platform and tooling. Reporting directly to the Principal Product Manager, you'll partner closely with Engineering, Data Science, and Leadership to build scalable infrastructure that powers critical business operations. This is not a customer-facing product role. You'll own internal platforms, data pipelines, and developer tooling that enable engineering and data teams to move faster and make better decisions. We're looking for someone with strong engineering roots who transitioned into Product Management and enjoys solving deeply technical problems. Location Remote (United States) Candidates must be authorized to work in the U.S. Compensation $180,000 – $230,000 base salary Competitive equity package Comprehensive benefits What You'll Do Own the product strategy and roadmap for internal data platform and tooling initiatives. Work closely with Engineering and Data Science teams to prioritize technical investments and platform capabilities. Define product requirements for large-scale data infrastructure, ingestion pipelines, internal tools, and developer platforms. Partner with engineers throughout the product lifecycle—from discovery through implementation and launch. Drive initiatives involving data collection, normalization, modeling, storage, and internal analytics infrastructure. Manage product priorities across multiple technical stakeholders while balancing business and engineering needs. Use data to evaluate product success and continuously improve platform capabilities. Influence cross-functional teams through strong technical communication and product leadership. Required Qualifications 5+ years of experience as a Product Manager or equivalent cross-functional product leadership role. Prior hands-on engineering experience is required (Software Engineer, Data Engineer, Machine Learning Engineer, Data Scientist, or highly technical Data Analyst). Proven experience owning highly technical products focused on data platforms, internal tooling, or infrastructure. Experience building products involving large-scale data pipelines, ingestion, transformation, normalization, and data modeling. Strong understanding of modern cloud infrastructure and data ecosystems. Hands-on familiarity with Python and AWS. Experience working with one or more big data technologies such as: Spark Databricks BigQuery Snowflake Amazon Redshift Experience working with SQL and relational databases. Ability to collaborate effectively with Engineering and Data Science teams. Excellent written and verbal communication skills with strong executive presence. Preferred Qualifications Experience at a Series B or Series C startup. Startup product ownership with end-to-end responsibility. Experience in FinTech, Payments, Fraud, Identity, Cybersecurity, AI Infrastructure, or other highly technical domains. Experience managing products supporting machine learning, analytics infrastructure, or internal engineering platforms. Founder or entrepreneurial experience is a strong plus. Experience with Golang, PostgreSQL, OpenSearch, or related backend technologies.

Lead strategy, roadmap, and execution of B2B SaaS products collaborating across teams to translate customer feedback into product requirements. | 6-10 years product management experience in B2B SaaS, bachelor's degree, strong PRD writing and stakeholder management. | About the Role We're looking for an experienced Senior Product Manager to lead the strategy, roadmap, and execution of customer-facing B2B SaaS products. This is a highly cross-functional role where you'll partner closely with Engineering, Operations, Customer Success, and Leadership to deliver products that solve meaningful customer problems. We're seeking a product leader with a strong startup mindset who has successfully shipped end-to-end SaaS products, written high-quality product requirements, and enjoys working directly with customers to influence product direction. Location Remote (United States) Compensation & Benefits $190,000 – $250,000 base salary Competitive equity package Fully covered Medical, Dental, and Vision insurance 401(k) with company match Complimentary breakfast, lunch, dinner, and snacks when working onsite What You'll Do Own the product strategy and roadmap for customer-facing B2B SaaS products. Partner closely with Engineering, Operations, Support, and Go-to-Market teams to deliver high-impact product releases. Gather customer feedback and translate insights into product requirements and roadmap priorities. Write clear, actionable Product Requirements Documents (PRDs) and user stories. Drive products from discovery through launch, adoption, and continuous iteration. Balance customer needs, technical constraints, and business priorities when making product decisions. Collaborate with stakeholders across the organization to ensure successful product delivery. Measure product success using customer feedback, usage metrics, and business outcomes. Required Qualifications 6–10 years of Product Management experience. Proven success shipping end-to-end B2B SaaS products. Experience owning product roadmaps and driving execution across cross-functional teams. Experience at a recognizable, high-growth Series A–D startup. Strong customer-facing experience with the ability to build trusted customer relationships. Excellent stakeholder management and cross-functional communication skills. Demonstrated experience writing clear, detailed, and actionable PRDs. Experience working closely with Engineering, Operations, Support, and Product teams throughout the product lifecycle. Bachelor's degree or equivalent practical experience. Preferred Qualifications Strong academic background or experience at a highly regarded startup or Big Tech company (either is sufficient; both are a plus). Experience with healthcare technology or digital health products. Experience working in fast-paced, high-growth startup environments. Entrepreneurial mindset with strong ownership and execution skills.

Lead end-to-end product lifecycle for enterprise AI platform, partnering with leadership and engineering to translate customer needs into scalable product capabilities and roadmap. | 5-10 years product management experience in B2B or enterprise software, bachelor's degree, expertise in technical specifications and enterprise customer engagement. | About the Role We're looking for an experienced Senior/Staff Product Manager to become the founding Product Manager at our fast-growing, seed-stage company. In this role, you'll partner closely with the CEO, CTO, Engineering, and customers to shape the future of our enterprise AI platform. This is far more than a traditional roadmap role. You'll own enterprise customer engagements from pre-sales through post-sales, translate complex customer problems into scalable product solutions, and help define the product strategy for a rapidly growing company. We're looking for someone who thrives in ambiguity, enjoys working directly with enterprise customers, and can bridge business, product, and engineering with equal confidence. Location Hybrid – San Francisco, CA Full-time Compensation & Benefits Compensation $190,000 – $270,000 base salary Level (Senior vs. Staff) determined during the interview process based on experience and performance. Meaningful founding-level equity in a seed-stage company. Benefits Best-in-class Medical, Dental, and Vision insurance 401(k) with up to 4% company match $1,200 annual Learning & Development stipend Flexible PTO Catered lunches Commuter benefits Visa sponsorship and relocation support available for qualified candidates About the Company We're a 19-person, venture-backed startup building enterprise AI software for highly regulated industries. Raised $10M from Lightspeed Ventures and Valor Equity Partners AI-native engineering culture Building mission-critical enterprise software Opportunity to join as the company's first Product Manager and help define product strategy from the ground up What You'll Do Lead enterprise customer engagements from pre-sales discovery through post-sales expansion. Design and deliver customized product demonstrations tailored to each customer's workflows and business objectives. Work directly with enterprise customers to understand complex business problems and translate them into scalable product solutions. Partner closely with the CEO, CTO, Engineering, and domain experts to define product strategy and priorities. Write detailed Product Requirements Documents (PRDs), engineering briefs, and functional specifications. Build rapid prototypes using modern AI coding tools such as Cursor, GitHub Copilot, and Claude to validate ideas. Drive multiple enterprise implementations simultaneously while ensuring outstanding customer experience. Identify common customer needs and convert them into scalable product capabilities. Own complex platform functionality including: Authentication Role-Based Access Control (RBAC) Approval workflows Data governance API integrations Help shape the long-term product roadmap as the company scales. Required Qualifications 5–10 years of Product Management experience. 5+ years building enterprise or B2B software products. Proven experience owning products throughout the full product lifecycle. Strong customer-facing experience including: Enterprise discovery Solution design Product demonstrations Post-sales partnership Experience translating customer requirements into actionable engineering deliverables. Excellent written communication skills with demonstrated experience writing: Product Requirements Documents (PRDs) Functional specifications Engineering briefs Strong collaboration skills across Product, Engineering, Executive Leadership, and customers. Bachelor's degree required. Preferred Qualifications Experience in one or more of the following areas: Enterprise Software DevOps Platforms Security Software Infrastructure Software Data Analytics Platforms APIs & Integrations AI-powered enterprise applications Regulated industries (Insurance, FinTech, Healthcare, Compliance) Additional strengths include: Startup experience (Seed through Series C) Consulting background Prior engineering experience Experience building products from scratch Strong understanding of enterprise architecture and technical integrations

Design and deliver scalable enterprise-grade Generative AI solutions using LLM pipelines and lead AI product production in Agile. | Over 7 years engineering experience with expertise in generative AI models, AWS, Python, React/Next.js, and vector databases. | Senior AI Engineer Location: Remote – USA Company Overview Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada. Project Description Our client, a leading technology organization, is seeking a Senior AI Engineer to design and deliver scalable Generative AI solutions in a production environment. The role focuses on building enterprise-grade AI products using Python, React, and AWS while leveraging modern architectures including LLM pipelines, RAG, agentic systems, and MCP frameworks. The ideal candidate brings deep Gen AI expertise, strong cloud engineering fundamentals, and the ability to lead cross-functional delivery in an Agile environment. Key Responsibilities Design, architect, and build scalable Gen AI solutions including LLM pipelines, Agentic AI, MCP, Graph/RAG architectures, and prompt-based applications Lead end-to-end delivery of production-ready AI products using Python, React/Next.js, and AWS Implement cloud-native solutions across AWS EKS, Lambda, Fargate, Glue, and Athena Leverage Gen AI frameworks including LangChain, LlamaIndex, and Amazon Bedrock Design and optimize vector and graph database solutions — Weaviate, Milvus, PGVector, Neo4J, Neptune Build and orchestrate ETL pipelines using Apache Airflow/DAGs Optimize AI product performance and drive continuous experimentation with cutting-edge Gen AI methods and toolchains Serve as SME on Gen AI technologies and actively contribute to shaping the organization's AI roadmap Own timelines, deliverables, and project milestones using Agile Scrum/Kanban practices Monitor operational metrics and incident data to drive continuous improvement and reliability Ensure adherence to DevSecOps protocols, governance standards, and SDLC best practices Mandatory Skills 7+ years of progressive engineering experience with 1–2 years leading AI or emerging tech initiatives Hands-on expertise with Gen AI models — GPT, Claude, Gemini, LLaMA — and advanced prompt engineering Strong experience with Agentic AI, MCP, and Graph/RAG architectures Proficiency in Gen AI frameworks — LangChain, LlamaIndex, Amazon Bedrock Web development proficiency in Next.js, React, and TypeScript/JavaScript Deep AWS expertise — EC2, EKS, Fargate, Lambda, Athena, Glue, Lake Formation Infrastructure as Code experience — Terraform, Docker, Puppet Strong Python programming skills — NumPy, Pandas, Matplotlib, Boto3 Vector and graph database experience — Weaviate, Milvus, PGVector, Neo4J, Neptune ETL orchestration experience using Apache Airflow/DAGs Experience with automated testing frameworks — Ragas, Playwright, Selenium, Zephyr Familiarity with LLM fine-tuning techniques Strong understanding of SDLC best practices, DevSecOps, and Agile Scrum/Kanban Experience with JIRA, Confluence, and JIRA Align Nice-to-Have Skills Experience with BI tools such as QuickSight or Tableau Knowledge of financial markets and enterprise data systems Background working in highly regulated or enterprise-scale environments

Manage and optimize virtual, cloud, and data center infrastructure focusing on Microsoft M365 and Entra, lead cloud migration, and maintain critical 24x7 systems. | Over 7 years enterprise infrastructure experience with expertise in Microsoft Entra, M365, VMware, scripting, Azure, and AWS. | Sr. Systems Engineer (M365) Location: Hybrid – Portsmouth, NH (2–3 days onsite/week) Company Overview Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada. Project Description Our client is seeking a Senior Systems Engineer with a specific focus on Microsoft M365 and Entra to play a key role in managing and advancing their virtual, cloud, and data center infrastructure. This hybrid role based in Portsmouth, NH is responsible for maintaining critical systems supporting 24x7 business operations while helping lead cloud migration efforts and infrastructure modernization initiatives. The interview process includes a video round followed by an onsite interview — the process may go directly to onsite. Key Responsibilities Manage and advance virtual, cloud, and data center infrastructure supporting around-the-clock business operations Administer and optimize Microsoft Entra/M365 environments including conditional access policies, CIS/SCuBA compliance, Intune device management, and hybrid join configurations Lead and support cloud migration and infrastructure modernization initiatives Administer VMware environments, blade systems, and SAN technologies Manage Microsoft Windows Server environments including patch management and change control processes Support Microsoft 365, Office 365, Azure, and AWS cloud environments Manage virtual desktop infrastructure and enterprise monitoring platforms Oversee data center operations, disaster recovery planning, and infrastructure lifecycle management Develop and maintain automation and scripting solutions using PowerShell, Bash, or Python Troubleshoot and resolve complex issues across server, storage, virtualization, and cloud technologies Mandatory Skills 7+ years of experience supporting enterprise infrastructure in a 24x7 environment Strong hands-on experience with Microsoft Entra/M365 — conditional access, CIS/SCuBA compliance, Intune, and hybrid join configurations are a hard requirement Extensive VMware administration experience including blade systems and SAN technologies Strong Microsoft Windows Server administration and patch management expertise Experience supporting Microsoft 365, Office 365, Azure, and AWS environments Knowledge of data center operations, infrastructure management, and disaster recovery practices Experience with configuration management and change control processes Proficiency in scripting and automation tools — PowerShell, Bash, or Python Strong troubleshooting skills across server, storage, virtualization, and cloud technologies Nice-to-Have Skills Experience managing virtual desktop infrastructure (VDI) environments Familiarity with enterprise monitoring platforms Background in cloud migration strategy and execution Experience in regulated or compliance-driven enterprise environments