Title/Role: Technology Lead- AI DLC
Work Location & Reporting Address: Hartford, CT / Minneapolis, MN/Richardson, TX /Raleigh, NC (Onsite)
Duration: 12 months contract
Pay rate - $70/hr on W2 OR $80/hr on 1099.
Job ID Beeline- 124467-1
Job Details:
Must Have Skills- AI DLC, Python and GEN AI
7+ years of experience leading technology delivery, Agile transformation, Scrum Master, Release Train Engineer (RTE), or similar cross functional delivery roles.
Strong hands on Python development experience, with demonstrated ability to design, build, deploy, orchestrate, monitor, and manage production ready AI agents and agent based workflows. Experience applying GenAI, AI agents, and automation across the software development lifecycle.
Strong experience facilitating planning, dependency and risk
Nice to have skills
Experience leading AIDLC, AI enabled engineering, or agentic transformation initiatives. Experience as a Scrum Master and/or Release Train Engineer (RTE) supporting complex technology programs.
Experience with agent orchestration frameworks, APIs, MCP based integrations, prompt engineering, AI assisted development platforms, CICD, and cloud deployment. Experience with GitHub Copilot, Microsoft 365 Copilot, Codex, Claude, or similar GenAI platforms
Detailed Job Description
7 years of experience leading technology delivery, Agile transformation, Scrum Master, Release Train Engineer RTE, or similar cross functional delivery roles.2. Strong hands on Python development experience, with demonstrated ability to design, build, deploy, orchestrate, monitor, and manage production ready AI agents and agent based workflows. Experience applying GenAI, AI agents, and automation across the software development lifecycle.
Minimum years of experience
8-10 years
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Lead adoption and execution of AIDLC across technology teams, transforming traditional delivery processes into AI enabled ways of working
Perform Scrum Master and RTE type responsibilities, including facilitating planning and delivery cadences, managing cross team dependencies and risks, removing impediments, and driving alignment across Product, Engineering, Quality, Architecture, and Operations.
Hands-on design, development, deployment, orchestration, and ongoing management of Python based AI agent
