Artificial Intelligence Engineer

Job Description Job title: Senior Full Stack AI Engineer Location: Boston, MA/ Minneapolis, MN Compensation Structure: Base + Bonus + Benefits VISA: US Citizen, Green Card, GC-EAD Rolr type: Full time (FTE) Note: If someone is ready to relocate from Day 1, they can also apply. Required Qualifications • 8+ years of experience in software engineering, automation, or platform engineering roles. • Proven hands-on experience implementing LLM based or agentic AI solutions in enterprise environments. • Demonstrated expertise with Anthropic Cloud Code and advanced Claude services (including interpreter style workflows). • Strong understanding of agent architectures, tool orchestration, and secure AI platform design. • Experience working with investment, research, or Portfolio Management business users. • Proficiency in Python and modern cloud native development patterns. Required Qualifications • Experience building AI platforms or shared AI services in financial services or regulated environments. • Familiarity with portfolio management, investment research, or quantitative analytics workflows. • Experience integrating AI solutions with enterprise data platforms and analytics stacks. • Exposure to Responsible AI frameworks, model governance, and audit requirements. Roles & Responsibilities We are seeking a Senior AI Automation Engineer to mature and expand our enterprise AI Platform – AgentCore by designing, building, and scaling new AI driven capabilities that directly support Portfolio Management and Research workflows. This role will serve as a hands on technical leader responsible for operationalizing Anthropic Cloud Code and advanced Claude services (including Claude Interpreter) across the client—delivering secure, governed, and reusable AI components. The engineer will work closely with Portfolio Managers, Research Analysts, and Quant teams to translate high value investment use cases into production grade agentic solutions deployed on AgentCore. AI (AgentCore) Platform Maturity • Design agentic workflows and multi agent orchestration patterns using approved AgentCore frameworks and runtimes. • Build AI capabilities that leverage: • Tool calling • Retrieval augmented generation (RAG) • Structured data semantics • Reusable prompt and skill Value Realization & Platform Adoption • Demonstrate measurable impact on research productivity, decision velocity, and analytical depth. • Support adoption via reference implementations, documentation, and enablement materials. • Provide architectural guidance to teams building on AgentCore to prevent fragmentation and “shadow AI.”Enterprise Platform Enablement • Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms). • Esta blish reusable AI components, frameworks, and guardrails for product and engineering teams. • Enable adoption through reference architectures, implementation patterns, and developer enablement. Value Realization & Measurement • Identify and quantify productivity, quality, and cycle time improvements driven by AI. • Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction. • Support executive visibility into AI driven outcomes and maturity progress. About Us: Techaxis Inc. is headquartered in Northern Virginia, USA. We are ranked #3294 in Inc 5000 and #105 in Inc 5000 DC Metro Series, SWaM and WBE Certified, technology talent search firm. Techaxis is a US based firm which specializes in discovering, engaging and placing top talent globally, for full time or contract positions in leadership and mid to senior level positions for companies in the technology, healthcare, energy and education space. Equal Opportunities Employers Our clients provide equal opportunities to all its employees and all qualified applicants for employment, without regard to their race, caste, religion, color, ancestry, marital status, sex, age, nationality, disability, and veteran status. Employees of our clients are treated with dignity and in accordance with their policy to maintain a work environment free of sexual harassment, whether physical, verbal, or psychological. Employee policies and practices are administered in a manner that would ensure that in all matters equal opportunity is provided to those eligible and the decisions are merit-based. Show more Show less