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AI Technology Lead - Atlanta, GA; FTE
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-06-04
Listing for:
Capgemini
Full Time
position Listed on 2026-06-04
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Onsite location:
Atlanta, GAJob Description The AI Tech Lead will lead the design, development, and delivery of enterprise-scale AI solutions, driving innovation and measurable business outcomes. This role combines deep technical expertise, hands-on delivery leadership, and strategic thinking to build scalable, secure, and high-performing AI systems.
The ideal candidate will own end-to-end AI architecture, guide engineering teams, and partner with stakeholders to translate business needs into production-ready AI solutions.
Key Responsibilities
AI Architecture & Solution Design Design and own end-to-end AI/ML architectures, including LLM-based systems, RAG pipelines, and AI agents
Define scalable, modular, and secure AI system architectures, ensuring alignment with enterprise standards
Lead the transition from PoC to production AI deployments with a strong focus on reliability and performance
Technical Leadership Lead AI engineering teams and provide hands-on guidance across development lifecycle
Establish best practices for AI development, including coding standards, testing, validation, and MLOpsConduct design reviews, code reviews, and solution governance
AI Development & Implementation Build and deploy AI solutions using modern frameworks (LLMs, NLP, computer vision, ML models)
Integrate AI solutions with enterprise systems, APIs, and cloud platforms
Implement orchestration layers, agent workflows, and automation capabilities
Stakeholder Collaboration Partner with product, business, and client stakeholders to define AI use cases and roadmaps
Translate business requirements into scalable AI solutions and technical designs
Act as a trusted advisor for AI adoption and transformation initiatives
Governance, Security & Compliance Ensure responsible AI practices, including ethics, bias mitigation, data privacy, and regulatory compliance
Define guardrails, standards, and governance frameworks for AI usage
Innovation & Thought Leadership Evaluate emerging AI technologies and frameworks
Drive innovation through reusable components, accelerators, and frameworks
Contribute to pre-sales, solutioning, and capability building
Required Skills & Experience
10+ years of experience in software engineering, with 4+ years in AI/ML solutions
Strong hands-on experience with:
LLMs (GPT, open-source models), prompt engineering
RAG architectures, embeddings, and vector databases
AI orchestration frameworks and agentic systems
Experience designing and deploying production-grade AI systems
Proficiency in Python, ML frameworks (Tensor Flow, PyTorch, Lang Chain, etc.)Strong cloud experience (Azure, AWS, or GCP AI/ML services)
Experience with APIs, microservices, and distributed architectures
Familiarity with MLOps, CI/CD pipelines, and model lifecycle management
Leadership & Soft Skills Proven ability to lead and mentor technical teams
Strong communication skills with both technical and executive stakeholders
Ability to influence architecture decisions and drive adoption
Experience working in agile, cross-functional teams
Good to Have Experience working in consulting or client-facing roles
Knowledge of Responsible AI / AI governance frameworks
Exposure to domain-specific AI (Financial Services, Healthcare, etc.)Certifications in AI/ML or cloud platforms
The base compensation range for this role in the posted location is: $100000 to $130000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation…
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