Our Opportunity

We are currently seeking a Senior AI Engineer for our Data Sciences Practice in Houston, TX. In this role, you will help design, build, and scale AI solutions - including generative and agentic AI systems - for client organizations across industries such as utilities, energy, life sciences, consumer electronics, and manufacturing. You will work alongside Exponent's multidisciplinary scientists and engineers to translate complex, real-world problems in safety-critical and highly regulated environments into production-grade AI applications.

You will be responsible for

• Architecting, developing, and deploying end-to-end AI solutions for clients, from data foundations through model development to production deployment
• Building generative AI applications, including retrieval-augmented generation (RAG) systems, LLM-powered assistants, and domain-specific copilots grounded in enterprise knowledge
• Designing and implementing agentic AI architectures - multi-agent workflows, tool use, orchestration frameworks, and human-in-the-loop controls - for complex analytical and operational tasks
• Developing knowledge representation layers (knowledge graphs, ontologies, semantic search) that ground AI systems in trusted, domain-specific context
• Deploying and scaling AI workloads on cloud infrastructure (AWS preferred), including containerized services, vector databases, and MLOps/LLMOps pipelines
• Rapidly prototyping and iterating on models, analyses, and visualizations in fast-paced, client-facing engagements
• Implementing responsible AI practices, including evaluation frameworks, guardrails, observability, and alignment with client governance and regulatory requirements
• Collaborating with Exponent consultants across engineering and scientific disciplines to embed domain expertise into AI solutions
• Communicating technical approaches and results clearly to both technical and executive client stakeholders
• Mentoring junior team members and contributing to the growth of Exponent's AI capabilities and reusable assets

You will have the following skills and qualifications

• Ph.D. in Computer Science, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a related field
• 5+ years of hands-on experience building and deploying machine learning and AI systems in production environments after the completion of the Ph.D.
• Demonstrated experience with generative AI, including LLM application development, prompt engineering, fine-tuning, and RAG architectures
• Experience with agentic frameworks and orchestration tools (e.g., LangChain, LangGraph, LlamaIndex, or comparable)
• Strong software engineering fundamentals in Python; experience with APIs, microservices, and containerization (Docker, ECS/Kubernetes)
• Hands-on experience with cloud platforms (AWS strongly preferred; Azure or GCP acceptable), including serverless and managed AI/ML services
• Familiarity with vector databases (e.g., pgvector, Pinecone, OpenSearch) and knowledge graph technologies is a plus
• Highly proficient in SQL, with the ability to work across large, complex enterprise datasets
• Experience working in consulting or client-facing roles, with the ability to manage ambiguity and deliver under tight timelines
• Excellent written and verbal communication skills
• Presently legally authorized to work in the United States; no immigration sponsorship or processing required

Preferred qualifications:

• Experience applying AI in safety-critical, regulated, or physical-infrastructure industries (utilities, energy, healthcare, manufacturing, transportation)
• Familiarity with AI governance frameworks, model risk management, and trustworthy AI principles

Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].

Work Environment

At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.

We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite

Compensation

Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.

Benefits you will enjoy



https://www.exponent.com/careers/life-exponent

Job Locations

US-TX-Houston