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Principal Artificial Intelligence AI Solutions Architect - Sensata Technologies
Solutions Architect
Lead the design, prototyping, and production deployment of enterprise AI solutions, shaping the technical foundation, guiding vendor selection, and ensuring scalability and reliability across complex environments.
About the role
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