Job Title: Azure AI Lead
Location: Illinois
Type: Direct Hire W2 /
Corp-Corp
Share your updated resume to satti.p...@yash.com
Job Description:
We are
seeking an accomplished Azure AI Lead with deep expertise
across the Microsoft ecosystem — Azure AI Foundry, Azure AI Services, Azure
OpenAI, Dynamics 365, Azure infrastructure, IaC, and low-code/no-code
platforms such as Power Platform and Copilot
Studio.
This role provides technical leadership, architectural oversight, and
governance direction to drive secure, scalable, enterprise-grade AI
solutions.
Key
Responsibilities :
AI
Architecture & Solution Leadership
- Lead end-to-end architecture of AI solutions using Azure AI
Foundry, Azure AI Services, Cognitive Services, Azure OpenAI, and
Azure ML.
- Guide design of Generative AI capabilities including LLM
orchestration, RAG patterns, embeddings, vector search, and
intelligent automation.
- Oversee delivery of AI-enabled solutions using Power Apps,
Power Automate, Copilot Studio, Power Pages, and Dataverse.
- Provide leadership across solution blueprints, HLD/LLD
creation, API design, integration frameworks, and architectural
reviews.
- Conduct technical discovery, solution validation, and ensure
delivery alignment across teams.
Azure
Infrastructure & IaC Leadership
- Lead the design of cloud-native AI infrastructures using AKS,
Azure Functions, App Services, APIM, Event Grid, Azure SQL, Storage,
and VNETs.
- Direct IaC implementation with Terraform, Bicep, ARM,
and enforce standards across teams.
- Ensure architectural excellence around scalability,
performance, identity, and cost optimization.
Microsoft
Ecosystem, Dynamics 365 & LCNC Integration
- Lead integration of AI capabilities across Dynamics 365,
Power Platform, and Microsoft 365.
- Architect low-code/no-code–driven AI experiences using Power
Apps, Power Automate, Power Pages, Copilot Studio.
- Oversee enterprise-grade integration layers using Graph
API, Dataverse API, APIM, and REST microservices.
- Drive Copilot-enabled workflows across business teams to accelerate
adoption and business value.
AI
Engineering, Data & Integration Leadership
- Lead implementation of retrieval-based AI systems using Azure
AI Search, embeddings, vector indexes, and multi-source grounding.
- Oversee data integration across Dataverse, SQL, SharePoint, Blob
Storage, and external systems.
- Establish reusable AI assets—prompts, templates,
connectors, pipelines—for enterprise reuse.
- Ensure telemetry, monitoring dashboards, performance tuning, and
model lifecycle practices are in place.
AI
Governance & Responsible AI Ownership
The Azure
AI Lead will own and drive the organization’s AI governance and
responsible AI strategy.
AI Governance
Responsibilities
- Define and enforce AI governance frameworks, standards,
and compliance controls for GenAI and Azure AI workloads.
- Establish AI-related data governance practices—data
sourcing, lineage, retention, sensitivity, and access.
- Ensure solutions adhere to Microsoft Responsible AI
principles—fairness, transparency, reliability, security, and
accountability.
- Assess and mitigate risks including hallucinations, data
leakage, bias, and misuse.
- Lead architectural governance reviews, security assessments, and
compliance checkpoints.
- Define and enforce guardrails for:
- prompt engineering & security
- grounding & retrieval
- inference controls
- logging, monitoring & auditability
- Partner with InfoSec, Compliance, Risk, and Legal to
align AI solutions with regulatory and enterprise standards.
- Develop governance artifacts including AI playbooks, best
practices, model evaluation criteria, and deployment standards.
- Lead or support the AI Center of Excellence (CoE) to
promote governance, reuse, and adoption of standardized AI patterns.
Required Skills & Qualifications:
- 12+ years of experience in cloud,
AI, or solution architecture roles.
- Expertise in Azure AI Foundry, Azure AI Services, Azure
OpenAI, Cognitive Services, and vector-based retrieval.
- Strong hands-on experience with Dynamics 365, Dataverse,
Power Platform Low Code, No Code tools.
- Deep knowledge of Azure infrastructure and IaC (Terraform,
Bicep, ARM).
- Strong solution design experience with multi-system enterprise
architectures.
- Programming experience with REST APIs, Graph API, JSON,
Python, C#, or TypeScript.
- Strong analytical skills and proven ability to lead
cross-functional technical decisions.
Preferred
Qualifications
- Microsoft certifications: AI-102, AZ-305, DP-100, PL-600, MB-600.
- Experience with LangChain, Semantic Kernel, or LLM
orchestration patterns.
- Background in AI governance, risk management, or
regulated industry AI solutions.
- Experience leading or contributing to AI CoEs or enterprise
governance bodies.
Thank You
Satti Reddy