3Core Systems , Inc

Design, build, and scale AI agents and intelligent systems while leading technical workstreams and mentoring engineers. | Bachelor's degree with 5+ years software engineering experience and strong hands-on AI development and object-oriented programming skills. | Title: AI Software Engineer / AI Agent Engineer Location: NYC or Baltimore, MD (2 days per week) Duration: Full Time Work Authorization: USC or GC We identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You'll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you'll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Join us for the opportunity to grow and make a difference in ways that matter to you. Role Summary Positions are available in our New York City office or with our AI Engineering squad in Harbor Point, Baltimore, MD. In either location, you will join a collaborative team of engineers, product owners, and business partners building high-impact AI products with leverage across the firm. As a Senior Software Engineer on AI Engineering team, you will independently design, build, and scale production-grade AI agents and intelligent systems that solve complex business problems. You will lead technical workstreams, incubate new AI products, experiment with emerging technologies and innovative ideas, and partner with business-aligned technology teams to enable broader adoption at scale. This is a hands-on role for an experienced engineer with strong software fundamentals, practical AI engineering experience, and a product mindset. You will take ownership of complex and ambiguous problems, mentor other engineers, and contribute to the patterns and practices that shape AI engineering at T. Rowe Price. Responsibilities Own the end-to-end design and delivery of production-grade AI agents and intelligent systems, including architecture, implementation, testing, evaluation, deployment, observability, and production support. Design agentic workflows using orchestration, tool integration, retrieval-based systems, structured outputs, context management, and appropriate human-in-the-loop patterns. Partner with product owners and business stakeholders to take control of complex or ambiguous problems, evaluate alternative approaches, and translate needs into scalable AI solutions. Lead technical workstreams from rapid experimentation and validation through production adoption. Establish evaluation and testing approaches for non-deterministic AI systems, including quality metrics, regression testing, failure analysis, and production monitoring. Make informed engineering trade-offs across models, prompts, context, tools, latency, cost, reliability, security, and maintainability. Contribute to reusable AI capabilities and shared engineering patterns that improve speed, quality, and consistency across teams. Lead code and design reviews, mentor less-experienced engineers, and help others solve complex technical problems. Own technical debt and continuously improve the quality, reliability, and maintainability of the systems you build. Rapidly evaluate emerging AI technologies and determine when and how they can be applied to deliver meaningful business value. Support the Build-Operate-Transfer model by preparing successful AI solutions for long-term ownership and scale by business-aligned technology teams. Business Knowledge Work directly with business stakeholders and product owners to understand priorities, shape solution direction, and deliver measurable outcomes. Translate complex business needs into effective technology solutions and clearly communicate technical trade-offs. Balance innovation, business value, scalability, risk, fiscal responsibility, and long-term maintainability when making technical decisions. Qualifications Required: BS or MS in Computer Science or a related technical field, or equivalent practical experience, with 5+ years of professional software engineering experience. Strong hands-on development experience in object-oriented languages such as Python, Java, or JavaScript/TypeScript. Hands-on experience building AI-enabled applications, intelligent workflows, or agentic systems using modern LLMs and AI development frameworks. Practical experience with modern AI engineering patterns such as agent orchestration, tool/function calling, retrieval-based systems, prompt and context engineering, structured outputs, evaluation, observability, or guardrails. Experience taking AI-enabled systems beyond prototypes toward production, including testing, monitoring, reliability, security, and operational considerations. Strong experience with cloud-native architectures, containerized microservices, APIs, and modern software delivery practices. Strong analytical, problem-solving, software design, and debugging skills. Demonstrated commitment to engineering quality through automated testing, code reviews, observability, and continuous delivery. Ability to independently own complex technical problems and clearly communicate designs, decisions, and trade-offs. A product mindset, strong learning agility, and passion for staying current with the rapidly evolving AI engineering landscape. Preferred: Experience mentoring engineers or leading technical workstreams. Understanding of financial markets, asset management, or financial instruments.

Lead engineering teams to architect and deliver AI-driven software platforms ensuring reliability and governance. | 10+ years software engineering with Java, microservices, generative AI, LLM applications, and technical leadership. | Role: IT Software Engineer 5 (Lead Software Engineer – AI Systems, Architecture & Developer Experience) Location: Peoria, IL and/or Chicago office (Chicago preferred) - Hybrid; must go in office 2 days a week Duration: 12 Months, possibility to be extended Exp: 10-12 Years not more than 15 yrs Description: We are seeking a visionary Lead Software Engineer to architect and deliver next-generation software platforms driven by Artificial Intelligence and Agentic workflows. In this senior leadership role, you will bridge the gap between core full-stack application development and cutting-edge Large Language Model (LLM) integration. You will work with several high-performing engineering teams, championing the adoption of AI coding assistants to radically accelerate our internal developer velocity while designing reliable, production-grade AI systems for our customers. Position’s Contributions to Work Group: Technical Architecture & AI Integration - Design and orchestrate multi-agent workflows and stateful AI systems using modern frameworks like LangChain, LangGraph, AutoGen, or CrewAI. - Integrate foundation models (e.g., Anthropic Claude, OpenAI GPT, and Google Gemini) via secure API gateways, managing token limits, costs, and rate-limiting. - Architect data models optimized for AI-native structures, integrating relational databases with vector databases for semantic search and Retrieval-Augmented Generation (RAG). - Implement robust white-box testing and continuous evaluation metrics to monitor AI outputs for factual correctness, hallucinations, and safety compliance. - Champion secure, reliable, and scalable software solutions through architectural leadership, risk management, and continuous improvement of engineering practices. Typical task breakdown: Technical Leadership & Workflow Optimization: · Mentor and scale an engineering team, establishing engineering standards, best practices and architectural governance for secure coding, continuous integration, and cloud-native deployment. · Drive AI-assisted engineering velocity by integrating next-gen development tools (e.g., Cursor, Claude Code, Windsurf) into the team's daily Software Development Life Cycle (SDLC). · Establish governance policies and coach developers on the responsible use of AI, focusing on input data sensitivity, license compliance, and security guardrails. · Evaluate existing systems, services, APIs, and data models to identify opportunities for modernization, scalability, and performance improvements. Influence Across Teams & Champion Developer Experience: • Facilitate technical leadership forums with Product Owners, Technical Leads, Architects, and Engineering Managers. • Drive conversations around architecture, engineering health, technical debt, AI adoption, and continuous improvement. • Mentor engineers and technical leaders on system design, software architecture, and engineering excellence. • Foster collaborative decision-making through architecture reviews, RFCs, and technical discussions. • Promote self-service engineering capabilities and platform enablement. • Drive automation initiatives that improve productivity and software quality. Interaction with team: • Significant interaction required with Scrum team. Interaction during all scrum ceremonies such as Daily Standups, Sprint Planning, Grooming, Retro, Demo etc. Also need to interact with team for PR Reviews, also need to engage with other teams as needed. Education & Experience Required: • Bachelor’s degree in Computer science or Electrical engineering or related field, Plus 10+ years exp • Master Degree plus 8+ years exp Core Software Engineering • Backend Systems: Deep proficiency in backend environments, microservices architectures, and API design using Java. • Cloud & DevOps: Extensive experience with containerization (Docker, Kubernetes) and public cloud infrastructure like AWS • AI & LLM Infrastructure • Orchestration & Tooling: Hands-on experience with production-level AI agents, prompt engineering, and advanced Agentic PDLC patterns. • Vector Databases: Practical knowledge of vector technologies such as Pinecone, Milvus, Chroma, or pgvector. • AI Tool Fluency: Demonstrated mastery of AI coding assistants and a firm understanding of Model Context Protocol (MCP) to mediate agent connections with external databases. Technical Skills: · 8+ years of professional software engineering experience and 2+ years in a technical leadership role. · Proven experience designing and delivering large-scale distributed systems. · Strong expertise in software architecture, APIs, microservices, cloud-native applications, and modern engineering practices. · Experience influencing multiple engineering teams and leading organization-wide technical initiatives. · Strong communication, collaboration, and stakeholder management skills. · Demonstrated ability to mentor engineers and drive technical excellence. · Experience with Generative AI, AI agents, LLM-powered applications, or intelligent automation platforms. · Experience with AI development tools, coding assistants, and modern developer productivity platforms. Experience Requirements Overall Experience · 10+ years of experience with a Bachelor's degree. · With a Master's degree, the requirement can be reduced to 8+ years. · Candidates with significantly more experience are acceptable; the hiring manager explicitly confirmed that more experience is fine/preferred. Leadership · 2+ years of technical leadership experience required. · The role is primarily a technical leadership position, with hands-on technical involvement. · Leadership experience does not necessarily need to come from formal people management. Java Development – Critical Requirement A strong Java development background is required. The hiring manager clarified that candidates should not simply be strong AI/GenAI leaders with limited Java exposure. The individual needs to: · Understand the existing Java codebase. · Be able to evaluate AI-generated recommendations involving Java. · Determine whether AI-generated recommendations are technically appropriate. · Make or drive the necessary changes. · Understand the implications of changes to the Java codebase. · Be comfortable working with Java repositories hosted in GitHub. A candidate who is highly experienced in AI but primarily codes in Python or another language without strong Java knowledge would likely not be suitable. GenAI / AI Experience Strong practical experience with Generative AI is a major requirement. The role requires experience with areas such as: · Generative AI · AI agents · LLM-powered applications · Intelligent automation platforms · AI development tools · AI coding assistants · Modern developer productivity platforms The hiring manager indicated that approximately 2 years of production AI experience is expected. The candidate should have practical experience using and applying AI, rather than simply having theoretical knowledge.

Manage InfoSec and infrastructure projects using Agile and Jira. | 8-12 years InfoSec and infrastructure experience with PMP preferred. | Job Title: Project Manager Job Location: Plantation, FL (Hybrid - 4 Days a week onsite) Duration: 6+ Months Contract to Hire SKILLS – JIRA Agile PMP preferred InfoSec Infrastructure experience