Work Location: Hartford, CT
Contract Duration: 12 Months
Experience Required: 8–10 Years
Job Description
We are looking for a Senior AI Engineering & Agile Transformation Lead to drive AI-enabled technology delivery and modernize software development processes. The ideal candidate will combine strong Python development skills with expertise in Agile transformation, Scrum Master and Release Train Engineer (RTE) practices, and hands-on development of production-ready AI agents.
The candidate will lead the adoption of AI-Driven Lifecycle Development (AIDLC), improve cross-functional collaboration, and integrate Generative AI and automation into the software development lifecycle.
Primary Skills
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Python Development
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Generative AI (GenAI)
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AI Agent Development
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AI-Driven Lifecycle Development (AIDLC)
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Agile Transformation
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Technology Delivery Leadership
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Scrum Master
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Release Train Engineer (RTE)
Secondary Skills
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Agent Orchestration Frameworks
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API and MCP-Based Integrations
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Prompt Engineering
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AI-Assisted Development Platforms
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CI/CD and Cloud Deployment
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GitHub Copilot
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Microsoft 365 Copilot
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Codex, Claude, or Similar GenAI Platforms
Key Responsibilities
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Lead the implementation and adoption of AIDLC across technology teams.
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Drive AI-enabled engineering practices and integrate AI agents into software development workflows.
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Design, develop, deploy, orchestrate, monitor, and maintain production-ready Python-based AI agents.
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Apply Generative AI and automation across the software development lifecycle.
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Facilitate Agile planning, delivery ceremonies, and cross-team coordination.
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Manage dependencies, risks, and impediments while ensuring alignment across Product, Engineering, Quality, Architecture, and Operations.
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Drive continuous improvement and support agentic transformation initiatives.
Required Qualifications
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7+ years of experience in technology delivery leadership, Agile transformation, Scrum Master, RTE, or similar cross-functional roles.
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Strong hands-on Python development experience.
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Proven experience developing and managing production-ready AI agents and agent-based workflows.
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Experience applying GenAI, AI agents, and automation across the software development lifecycle.
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Strong planning, dependency management, risk management, and stakeholder coordination skills.
Preferred Qualifications
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Experience leading AIDLC or AI-enabled engineering transformation initiatives.
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Experience supporting complex technology programs as a Scrum Master or RTE.
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Knowledge of agent orchestration frameworks, APIs, MCP integrations, and prompt engineering.
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Experience with AI-assisted development tools, CI/CD pipelines, and cloud deployment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.
