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, 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.

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