AI Technical Project Manager- R01569245

Primary Skills

• AngularJS, React JS, Vue JS

Job requirements

• Role: Technical Project Manager – Agentic AI

  Years of Experience: 10+ years

  Location: Remote/ Coppell, TX (Hybrid)

   

  As a consultant within the DE team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value.

   

  Job Description:

  We are seeking an experienced Technical Project Manager to lead the delivery of Agentic AI and Generative AI initiatives for enterprise applications. The ideal candidate will be responsible for driving project execution, managing product backlogs, prioritizing deliverables, and collaborating with cross-functional stakeholders while possessing a strong technical understanding of modern AI frameworks, Python development, API design, and CI/CD practices.

  Key Responsibilities

  Lead end-to-end delivery of Agentic AI projects in an Agile environment.

  Work closely with Product Owners, Engineering teams, and business stakeholders to prioritize backlogs and define project roadmaps.

  Drive sprint planning, backlog grooming, risk management, and stakeholder communication.

  Coordinate cross-functional teams to ensure timely and high-quality project delivery.

  Collaborate with engineering teams on AI solution architecture, integrations, and deployment strategies.

  Track project milestones, dependencies, and ensure alignment with business objectives.

  Establish best practices for AI solution delivery, prompt engineering, testing, and governance.

  Required Skills

  Strong experience in Technical Project Management, Agile/Scrum methodologies, backlog prioritization, and stakeholder management.

  Hands-on experience with Python for production-grade application development.

  Experience with LLM orchestration frameworks such as LangGraph, LangChain, GitLab Duo, Amazon Bedrock, Cortex, or similar platforms.

  Strong understanding of Agentic AI concepts, including agent loops, state machines, ReAct patterns, and multi-agent orchestration.

  Experience in Prompt Engineering, including prompt versioning, testing, evaluation, and optimization.

  Knowledge of REST APIs, OpenAPI specifications, and API integration.

  Experience with CI/CD pipelines, preferably GitLab CI/CD, along with DevOps best practices.

  Strong analytical, problem-solving, and communication skills.

  Preferred Qualifications

  Experience delivering Generative AI/LLM-based enterprise applications.

  Exposure to cloud platforms such as AWS, Azure, or GCP, with experience in Amazon Bedrock being a plus.

  Experience working with Banking, Financial Services, or other regulated industries.

  Familiarity with AI governance, model evaluation, observability, and security best practices.

  Education

  Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

   

  Why should you apply for this role?

  As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The DI team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients.

   

  Know more about

  PPE: https://www.brillio.com/platform-and-product-engineering/

  DAE: https://www.brillio.com/services-data-analytics/

  CES: https://www.brillio.com/services-customer-experience-services/

  DI: https://www.brillio.com/services-digital-infrastructure/

   

  Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

   

   

  Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

   

  Equal Employment Opportunity Declaration

  Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

   

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