AI Technology Lead - Atlanta, GA (FTE with Benefits)

Job 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.

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 MLOps
• Conduct 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 (TensorFlow, PyTorch, LangChain, 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
• 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

Base Compensation Range

The base compensation range for this role in the posted location is: $100,000 to $130,000. 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.