Capgemini Invent, Senior Consultant, AI Engineer

Capgemini•Dallas, TX
•$150,000 - $165,000

About The Position

Capgemini Invent’s Data Driven Transformation team helps organizations unlock value from data and AI investments through data-centric strategies, modern operating models, and AI-enabled solutions. The team brings together expertise in Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion, collaborating from strategy through execution. The Senior Consultant, AI Engineer owns technical workstreams and delivers end-to-end AI components within an established architecture. The role involves designing AI components, building governed agentic workflows, inference pipelines, and APIs, making independent technical decisions, applying evaluation-driven development, and creating reusable accelerators. The consultant works with clients and cross-functional teams to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness, while applying responsible AI principles.

Requirements

  • 5–6 years of experience in software or AI/ML engineering.
  • Experience with LLMs, RAG, function calling, and agents.
  • Experience with orchestration frameworks and vector databases.
  • Knowledge of cloud deployment, monitoring, and security.
  • Ability to operate independently with clients.
  • Strong AI literacy, including core AI and generative AI concepts, and understanding of their application to enterprise transformation.
  • Curiosity and a continuous learning mindset regarding emerging AI capabilities and their practical application in client environments.

Responsibilities

  • Own technical workstreams and deliver end-to-end AI components within an established architecture.
  • Design end-to-end AI components.
  • Build governed agentic workflows, inference pipelines, and APIs.
  • Make independent technical decisions.
  • Apply evaluation-driven development.
  • Build reusable accelerators.
  • Identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
  • Work in AI-augmented ways to enhance research, analysis, and solution development.
  • Collaborate across strategy, technology, data, and design to enable AI-driven solutions.
  • Apply responsible AI principles, including ethics, privacy, security, and governance.

Benefits

  • Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
  • Medical coverage or provincial healthcare coordination in Canada.
  • Dental insurance.
  • Vision insurance.
  • Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
  • Life insurance.
  • Disability insurance.
  • Employee assistance programs.
  • The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.
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