Expert AI Architect

## Expert AI Architect Apply:
Attleboro, Massachusetts:
Full time:
Posted Today:
IRC
98616

The Expert AI Architect serves as the enterprise AI architecture authority, defining standards, frameworks, and best practices for scalable, secure, and responsible AI solutions. This role drives architectural consistency across AI platforms, agents, models, integrations, and governance while guiding technical direction across engineering, IT, cybersecurity, and business teams.
** General Responsibilities
*** Own and evolve the enterprise AI architecture vision and multi-year roadmap, setting direction for platforms, tools, frameworks, integration patterns, and reusable standards across diverse business and technology environments.
* Lead the translation of highly complex, ambiguous business priorities into scalable AI architectures that shape enterprise technology and data strategy while meeting security, privacy, regulatory, and compliance requirements.
* Architect and provide authoritative direction for end-to-end AI ecosystems spanning data pipelines, model development, deployment, observability, evaluation, lifecycle management, and integration with critical enterprise platforms.
* Establish enterprise-wide architectural principles, governance frameworks, and decision criteria for generative AI, machine learning, large language models, retrieval-augmented generation, intelligent agents, APIs, and model integration, resolving the most complex or novel design challenges.
* Influence enterprise priorities and investment decisions by building alignment among engineering, data science, product, cybersecurity, legal, compliance, and senior business stakeholders on responsible, resilient, and value-driven AI solutions.
* Set technical direction and guide multiple teams through implementation, validation, governance, operational readiness, and cost optimization for business-critical production AI systems.
* Anticipate industry and technology shifts; assess emerging AI capabilities, vendors, and frameworks; and define adoption strategies that balance innovation, enterprise risk, scalability, interoperability, and long-term sustainability.
* Serve as the enterprise authority and escalation point for AI architecture, providing expert consultation, design review, and mentorship to senior engineers, architects, data scientists, and technical leaders across the organization.  
** 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**:
* Own the enterprise AI reference architecture and platform blueprint on Azure, covering agents, RAG, model services, the LLM gateway, identity, observability, and cost controls.
* Define the patterns for Dev/Test/Prod environments, CI/CD, and infrastructure-as-code across AI solutions, and guide the AI Platform Lead in implementing them.
* Build reference implementations, templates, and reusable components hands-on to prove out patterns and speed up delivery by AI engineers and data scientists.
* Serve as design authority for internal and third-party AI solutions, leading…