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AI Technology Lead - Atlanta, GA; FTE

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Capgemini
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: AI Technology Lead - Atlanta, GA (FTE with Benefits)
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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