Senior Consultant, AI Engineer

Capgemini Invent; Houston (TX); Sur place; USD 150 000 - 165 000; Plein temps

Avantages offerts par ce poste

Paid time off

Health benefits

401(k) plan

Résumé du poste

Capgemini Invent in Houston, TX is seeking a Senior Consultant, AI Engineer to deliver end-to-end AI components within an established architecture. You will own technical workstreams from design through governed delivery, onsite collaboration with clients, and independent decision-making.

You will design AI components, build governed workflows and inference pipelines, and apply evaluation-driven development to drive measurable progress.

Qualifications

• 5 to 6 years of experience in software or AI/ML engineering.
• Experience with LLMs, RAG, function calling, and agentic workflows.
• Experience with orchestration frameworks and vector databases.
• Knowledge of cloud deployment, monitoring, and security practices.
• Ability to operate independently while partnering with clients.

Responsabilités

• Design end-to-end AI components.
• Build governed agentic workflows, inference pipelines, and APIs.
• Make independent technical decisions aligned to the established architecture.
• Apply evaluation-driven development throughout the delivery lifecycle.
• Build reusable accelerators to support repeatable implementation patterns.

Connaissances

AI literacy

Generative AI concepts

Enterprise transformation

Collaboration across strategy and tech

Responsible AI

Continuous learning

Description du poste

In this onsite Senior Consultant, AI Engineer role at Capgemini Invent in Houston, TX, you will deliver end-to-end AI components within an established architecture, taking ownership of technical workstreams from design through governed delivery.

Role Focus

You will design AI components, develop governed agentic workflows and inference pipelines, and apply evaluation-driven development to support reliable, measurable progress. The position also includes building reusable accelerators and taking independent technical decisions within the client-facing architecture.

Key Responsibilities

• Design end-to-end AI components.
• Build governed agentic workflows, inference pipelines, and APIs.
• Make independent technical decisions aligned to the established architecture.
• Apply evaluation-driven development throughout the delivery lifecycle.
• Build reusable accelerators to support repeatable implementation patterns.

Required Qualifications

• 5 to 6 years of experience in software or AI/ML engineering.
• Experience with LLMs, RAG, function calling, and agentic workflows.
• Experience with orchestration frameworks and vector databases.
• Knowledge of cloud deployment, monitoring, and security practices.
• Ability to operate independently while partnering with clients.

About the Engagement

As AI reshapes how organizations operate, compete, and create value, Capgemini Invent is evolving its consulting model to be AI-enabled by design. The Data Driven Transformation (DDT) team helps organizations unlock value from data and AI investments through scalable, measurable change. Within Capgemini's Strategy & Transformation Consulting practice, DDT supports clients in shaping data-centric strategies, modern operating models, and AI-enabled solutions that deliver business outcomes. The unified team model combines expertise across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion to enable collaboration from strategy through execution.

Skills and Experience Expectations

• Strong AI literacy, including core AI and generative AI concepts, and awareness of how these apply to enterprise transformation.
• Ability to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
• Experience working in AI-augmented ways of working to strengthen research, analysis, and solution development.
• Collaboration across strategy, technology, data, and design to enable AI-driven solutions.
• Understanding of responsible AI principles including ethics, privacy, security, and governance.
• Curiosity and a continuous learning mindset for emerging AI capabilities in practical client environments.

Compensation and Location

• Location: Houston, TX (onsite)
• Salary: USD 150,000 to 165,000 per year
• Minimum experience: 5 years

Benefits

• Paid time off based on employee grade (A-F) per 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 (for example, 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.