Glint Tech Solutions LLC

Lead AI platform enablement, manage controls with InfoSec and Legal, build LLM pipelines, and support agentic workflows. | 6+ years engineering experience with 1-2 years in AI or cloud platform enablement, proficiency in Gen AI, Python, AWS, and Terraform. | Job Title: Senior AI Platform Engineer Location: New York (Hybrid – 3 days onsite) Company Overview Glint Tech Solutions is a women-owned global IT staffing and recruiting firm partnering with a leading enterprise client. Project Description This role drives AI platform enablement across the enterprise, sitting at the intersection of engineering, governance, and user enablement — partnering with InfoSec, Risk, Legal, and Compliance to implement platform controls while managing enterprise AI cost and usage. Key Responsibilities Lead AI platform enablement across OpenAI, Gemini, Anthropic, Bedrock, and agentic frameworks Partner with InfoSec, Risk, Compliance, and Legal on platform controls and guardrails Manage token budgets, usage/credit limits, and cost monitoring Build LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures Support users on AI usage, quotas, skills, agents, and MCP integrations Own delivery of platform initiatives using Agile practices Mandatory Skills 6+ years engineering experience, incl. 1–2+ years in AI/cloud platform enablement Experience implementing IAM, guardrails, logging, and quota/rate-limiting controls Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering Agentic AI, MCP, and Graph/RAG architectures AWS (Bedrock, EKS, Lambda, Fargate, Glue, Athena) Python (NumPy, Pandas, Boto3), Terraform/IaC, containerized deployments Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune) Nice-to-Have Skills BI tools (QuickSight, Tableau) Knowledge of financial markets/enterprise data systems To Apply Send resumes to sagar@glinttechsolutions.com

Design and implement advanced Android app features, lead and mentor engineering team, manage releases, troubleshoot issues, and optimize performance. | 5+ years native Android development with Java/Kotlin, proven app shipping experience, technical/team lead background, strong problem-solving and communication skills. | Job Title: Senior Android Developer Location: Sunnyvale, CA (Hybrid – 3 days/week onsite) Company Overview Glint Tech Solutions is a woman-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada. Project Description Our client, a leading enterprise retail company, is seeking a Senior Android Developer to design and build lists and registry experiences within a large-scale, high-traffic Android application. Key Responsibilities Design and implement sophisticated features for a major Android application Lead discovery and high-level design on medium-to-large scope projects Manage code, environment configurations, and release processes across multiple environments Lead and mentor a small engineering team (3-5 engineers) Troubleshoot business and production issues; drive performance optimization Collaborate with product, design, and scrum teams in an agile environment Mandatory Skills 5+ years of native Android development experience in Java/Kotlin Demonstrated experience shipping and maintaining live apps on Google Play Prior experience as a technical/team lead on complex deliverables Strong problem-solving, critical thinking, and communication skills Nice-to-Have Skills JavaScript/React Native Server-side REST API development (Node.js or similar frameworks)

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)