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Enterprise AI Architect

TalentOlaCincinnati, OH, United States

9 days ago

Job type

Full-time

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Job description

Job Title : Enterprise AI Architect

Experience : ~20 years overall, 10+ years in Architecture, 5+ years in AI / ML solutioning

3+ years in CPG or Retail domain across the value chain (Manufacturing, PLM, Supply Chain, Logistics, Sales, Marketing)

Education : Bachelor's or Master's degree in Computer Science, Data Science, AI / ML, or related field

Employment Type : Full time

Location : Cincinnati OR willing to move to Cincinnati

Role Summary

We are seeking a hands-on Enterprise AI Architect to lead the design, development, and governance of AI solutions across multiple accounts in RCG North America. This role will drive the enterprise AI architecture strategy-evaluating and enhancing frameworks, designing scalable and secure AI-native and agentic solutions, and ensuring alignment with business objectives across the CPG / Retail value chain. The ideal candidate will demonstrate deep technical expertise in GenAI, LLMs, and agentic workflows, and will be responsible for driving both business transformation and IT service delivery transformation using AI across a portfolio of projects. The candidate will also collaborate with cross-functional teams, drive innovation, scout emerging AI technologies and startups, and foster a culture of experimentation and co-innovation with clients and partners.

Key Responsibilities

AI Strategy & Architecture

Evaluate existing AI frameworks, platforms, and governance models to identify strengths, weaknesses, and gaps

Align AI initiatives with business objectives, data governance, and IT infrastructure.

Stay updated on emerging AI technologies and recommend adoption strategies, evaluate and recommend AI platforms, tools, and frameworks.

Recommend enhancements to AI architecture, tools, and integration strategies.

Demonstrate measurable ROI from AI initiatives, including cost savings, revenue uplift, and efficiency gains.

AI Solution Design

Create end to end AI reference architectures covering data, models, agentic workflows, orchestration, security, and observability aligned to enterprise standards

Agentic Flow Architectures for business workflow transformations & autonomous task execution use cases

Architect and Design AI Agents for AIOps / Intelligent Operations

Collaborate with engineering and operations teams to integrate AI solutions into enterprise systems

Governance & Compliance

Ensure compliance with enterprise AI governance, security, and ethical standards.

Establish best practices for responsible AI and model explainability

Establish observability standards including tracing, logging, and performance monitoring

Desired Candidate Profile

Required AI Technology Skills

Strong knowledge of AI / ML platforms & technologies, cloud services (Azure, GCP), and enterprise architecture principles

LLM Expertise : Strong understanding of large language models (OpenAI, Anthropic, Gemini, LLaMA) and their integration

Prompt Engineering : Designing reusable prompts, guardrails, and system instructions

Knowledge Retrieval : Proficiency in embedding models and vector DBs (Pinecone, Weaviate, Chroma), RAG / GraphRAG

Agentic AI : Proven experience designing agentic workflows using frameworks like LangChain / LangGraph, managing state and memory, integrating external tools / APIs , and building and leveraging MCP tools

Observability : Experience with tracing, logging, and performance monitoring of Gen AI solution using frameworks like LangFuse, Arize Phoenix or similar

MLOps / LLMOps : Familiarity with CI / CD for models, prompt versioning, and model lifecycle management

Security & Governance : Implement AI governance, compliance, and responsible AI practices.

Proven experience of using AI across the IT service delivery lifecycle both engineering and operations using tools like GitHub Copilot, Claude Code, Cursor, MCP servers, custom agents

Required Architecture Skills

Experience in architecting and designing applications with different architecture patterns across web, microservices, APIs, event-driven, data, containerized, cloud-native, cloud-agnostic, AI / ML

Identifying NFRs, architecting for NFR compliance and validating the same

Experience of having worked on different technology stacks such as Node.js, Python, Microsoft.NET and / or Java

Good experience with traditional relational databases as well as with NoSQL databases, including data modeling activities

Backend integration using APIs / ESB / Middleware / message-oriented systems and using data exchange formats such as JSON, XML

Good experience on at least one of the public clouds such as Azure and GCP (or AWS), including experience in architecting cloud-native solutions

Leadership & Soft Skills

Experience providing architectural and technology leadership across a portfolio of projects / programs, not limited to a single initiative.

Proven ability to lead, participate in, and drive consulting workshops and engagements with diverse client stakeholders, partners, and vendors. Should have the ability to influence decision making.

Pre-sales experience, including technical solutioning, estimation, proposal development and client presentations.

Proficient in articulation, communication and presentation, including to CXO-level client stakeholders.

Ability to evaluate and recommend emerging AI technologies, startups and partners for enterprise adoption, and drive co-solutioning initiatives.

Track record of driving innovation, thought leadership, and co-innovation with customers.

Demonstrated experience leading large, multi-regional teams (onsite / offshore), mentoring technical leaders, and navigating complex organizations.

High learning agility, adaptability, strategic thinking, and strong problem-solving skills.

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Enterprise Architect • Cincinnati, OH, United States

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