Onsite location: Atlanta, GA

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.
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 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
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 offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.