Principal Artificial Intelligence AI Solutions Architect - Sensata Technologies

General Responsibilities

• Define and maintain the AI architecture roadmap, including platforms, tools, frameworks, integration patterns, and reusable design standards.
• Translate complex business needs into scalable AI solution architectures that align with enterprise technology, data, security, privacy, and compliance requirements.
• Design end-to-end AI systems, including data pipelines, model development workflows, model deployment, monitoring, evaluation, and lifecycle management.
• Establish architectural guardrails for generative AI, machine learning, large language models, retrieval-augmented generation, intelligent agents, APIs, and model integration patterns.
• Partner with engineering, data science, product, security, legal, compliance, and business stakeholders to ensure AI solutions are reliable, responsible, and fit for purpose.
• Guide teams in implementing, testing, governance, and cost optimization practices for production AI systems.
• Evaluate emerging AI technologies, vendors, and frameworks and recommend adoption strategies that balance innovation, risk, scalability, and long-term maintainability.
• Provide technical leadership, mentorship, and architectural review for teams building AI-enabled products, platforms, and internal capabilities.
• Drive consistency and reuse by creating reference architectures, implementation playbooks, design patterns, and technical documentation.
• Communicate AI architecture strategy, tradeoffs, risks, and opportunities to senior technology and business leaders.

Experience / Qualifications

• A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.
• Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands
• Strong communication skills; oral, written and presentation
• Strong organization, planning and time management skills to achieve results
• Strong personal and professional ethical values and integrity
• Holds self-accountable to achieving goals and standards
• Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)
• Strong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers

Additional Responsibilities :

• Prototype and deliver hands-on AI solutions, integrating with enterprise systems (ERP, MES, PLM, APIs)
• Build advanced AI capabilities (RAG, LLM workflows/agents, document intelligence, enterprise search)
• Establish AI-specific data architecture standards (semantic models, metadata, taxonomy, lineage, access)
• Implement production-readiness practices (evaluation datasets, hallucination testing, human-in-loop, observability)
• Lead technical vendor validation