Senior AI Architect

Senior AI Architect page is loaded## Senior AI Architect locations:
Carmel, INtime type:
Full time posted on:
Posted 6 Days Agojob requisition :
R-010462

The Senior AI Architect is a senior-level strategic and technical leader responsible for shaping the enterprise-wide AI architecture vision and driving the design of scalable, ethical, and high-impact AI solutions. This role partners closely with the AI engineering team, product stakeholders, and the Office of Architecture to review requests, evaluate proof-of-concepts (POCs), establish architectural standards, and guide AI governance efforts. The Senior AI Architect ensures AI technologies are integrated into the broader enterprise ecosystem securely, responsibly, and effectively.##

Job Duties and Responsibilities:

AI Solution Architecture & Leadership – 40%
* Architect end-to-end AI/ML systems including data pipelines, feature stores, training infrastructure, and inference services.
* Lead architectural planning for advanced use cases such as NLP, generative AI, or predictive analytics.
* Define best practices for AI software design, performance optimization, and deployment across cloud and on-prem environments.
* Set architectural direction for integrating AI with enterprise systems (e.g., APIs, message queues, core platforms).
* Collaborate with Dev Ops and MLOps teams to standardize CI/CD practices for AI models.

Design Reviews, Governance & Quality – 25%
* Conduct technical reviews of proof of concepts, architecture diagrams, and production implementations.
* Evaluate AI solutions for ethical risks, regulatory compliance (e.g., GDPR, CCPA), and responsible usage.
* Define and enforce architectural standards for AI governance, including data retention, auditability, and explainability.
* Lead AI-specific architecture review boards or participate in cross-domain design councils.
* Identify and resolve architectural risks and technical debt in AI initiatives.

Strategic Collaboration & Influence – 15%
* Partner with security, data, and cloud architects to align AI work with enterprise architecture.
* Translate business needs into scalable AI architecture blueprints.
* Act as an AI advisor to product teams, executives, and stakeholders.
* Guide prioritization of AI use cases based on feasibility, value, and strategic fit.
* Evangelize AI architecture principles and value propositions across business units.

Innovation, Research & Continuous Learning – 10%
* Stay current on emerging trends (e.g., LLMs, vector databases, RAG architecture, federated learning).
* Evaluate new tools and frameworks for internal adoption and experimentation.
* Lead or sponsor innovation labs or structured pilot projects.
* Promote a culture of experimentation, reuse, and continuous learning within the AI team.
* Share technical insights and best practices through workshops, presentations, or internal documentation.

Vendor & Tool Evaluation – 10%
* Evaluate third-party AI platforms, APIs, and infrastructure components for enterprise use.
* Compare costs, capabilities, and security profiles of vendor solutions.
* Ensure external technologies integrate cleanly with enterprise data, security, and development ecosystems.
* Provide architectural due diligence for AI vendor contracts and pilots.
* Partner with procurement or vendor management teams on technical assessments.## ## Qualifications (Education, Experience, Certifications & KSA):
* Bachelor’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical discipline required.
* Master’s degree preferred.
* 10+ years of software engineering or architecture experience, with at least 5 years in AI/ML architecture and solution leadership.
* Deep knowledge of AI/ML system design, including data pipelines, model lifecycle management, MLOps, and cloud-native deployments.
* Strong expertise with platforms such as Azure Machine Learning, AWS Sage Maker, Google Vertex AI, Databricks, and OpenAI APIs.
* Demonstrated experience leading cross-functional teams and influencing enterprise-wide architecture decisions.
* Prior experience contributing to AI governance frameworks or responsible AI initiatives.
* Familiarity with enterprise…