What are the responsibilities and job description for the AI Engineer position at capgemini?
This role combines applied AI/ML expertise with strong backend engineering skills, ensuring agentic systems are not only functional but scalable, secure, and production-ready
AI Engineer will own the full lifecycle of AI services — from data ingestion and model training to real-time deployment and monitoring — while continuously adapting to evolving requirements in a fast-moving, high-stakes industry.
Key Responsibilities
AI Systems Development: Architect, fine-tune, and deploy AI agents purpose-built for utility use cases, including predictive operations, customer engagement, and energy optimization.
Backend Integration: Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid-level data flows.
Pipeline Ownership: Design and manage the full AI pipeline — ingestion, embeddings, retrieval, evaluation, and continuous deployment — ensuring reliability and scalability.
AI Risk Mitigation: Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, hallucination control – with sensitivity to regulated environments.
Cross-Functional Collaboration: Partner with software engineers, data specialists, and security teams to integrate AI capabilities.
Speed of Delivery: Operate with urgency, delivering breakthroughs in code and AI services on cycles measured in weeks, not quarters.
Qualifications and Experience
Education: Bachelor’s or Master’s in Computer Science, Machine Learning, or related field
Experience: 5 years of applied ML/AI engineering experience, ideally with exposure to enterprise/mission-critical systems. Track record of deploying AI services in production.
Utilities experience a plus
Technical Skills:
Proficiency in Python, and Java or Golang
Experience with Agent platforms
Expertise with ML/LLM frameworks such as PyTorch, TensorFlow, LangChain, or equivalent.
Experience with vector databases, orchestration frameworks, and modern MLOps practices.
Strong grounding in cloud-native architectures (AWS, GCP, Azure).
Soft Skills:
Analytical, collaborative, and comfortable with ambiguity. Ability to thrive in small, high-velocity teams, balancing experimentation with production rigor.
The pay range that the employer in good faith reasonably expects to pay for this position is $37.37/hour - $58.39/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
Salary : $37 - $58