Executive Role – AI Strategy & Innovation Lead / Senior AI/ML Engineer & Lead Data Scientists
BIZTECHNOSYS INFOTECH LLP
Philadelphia, PA
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JOB DETAILS
SALARY
$100,000–$110,000 Per Year
JOB TYPE
Full-time, Employee
SKILLS
Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Business Skills, Business Strategy, Cloud Architecture, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Science, DevOps, Docker, GitHub, Leadership, MCP - Microsoft Certified Professional, Manufacturing, Microservices, Microsoft Windows Azure, Power BI, SQL Databases, Semantic Search, Technical/Engineering Design
LOCATION
Philadelphia, PA
POSTED
30+ days ago
Work Location: Philadelphia
Remote,
*****Need 12+ Years experience only *********
Email to : Balakrishna Reddy
Role Overview
We are launching a strategic enterprise AI transformation initiative and are seeking an Executive AI Strategy & Innovation Lead to partner with the CIO, business leaders, and technology teams.
This role will drive AI adoption across the enterprise, define the AI roadmap, and ensure successful design and deployment of scalable, production-grade AI solutions aligned with a modern, multi-cloud and multi-model AI ecosystem.
This is a senior, client-facing leadership role requiring both strategic vision and hands-on guidance, operating as a trusted advisor to executive stakeholders.
Key Objectives
Define and drive enterprise AI strategy and roadmap
Identify and prioritize high-value AI use cases across business functions
Establish scalable architecture, governance, and agentic AI frameworks
Accelerate delivery of production-ready AI solutions
Bridge business vision with technical execution
Program Context
The AI initiative will be built leveraging:
Azure AI Foundry & Azure OpenAI
Microsoft Fabric (Lakehouse, Data Pipelines, Semantic Models)
Azure SQL Databases
Azure APIs & Microservices
Dynamics CRM & SharePoint
Enterprise-grade governance and secure cloud architecture
Additionally, the environment will evolve toward:
Multi-hyperscaler AI capabilities (Azure, AWS, GCP)
Multi-model orchestration (OpenAI, open-source, domain-specific models)
Agentic AI frameworks and autonomous workflows
Key Responsibilities
Executive Leadership & Strategy
Partner with CIO and leadership to define enterprise AI vision and adoption strategy
Identify and prioritize AI-led transformation opportunities
Define KPIs, value realization models, and ROI tracking
Establish Responsible AI, governance, and risk frameworks
AI Architecture & Solution Oversight
Define enterprise AI reference architecture across multi-cloud environments
Guide design of:
LLM-based solutions (RAG, copilots, intelligent workflows)
Multi-agent systems and agentic AI architectures
Model orchestration across multiple providers
Ensure alignment with scalability, security, and compliance standards
Technology & Platform Leadership
Provide strategic direction across:
Azure AI Foundry, Azure OpenAI, and Copilot Studio
Microsoft Fabric (data foundation for AI)
Multi-model ecosystems (OpenAI, open-source LLMs, etc.)
Oversee integration with enterprise platforms, APIs, and data systems
Delivery Acceleration
Lead and mentor engineering teams to accelerate AI and agentic solution delivery
Establish best practices for:
AI/ML lifecycle management
MLOps / LLMOps / AgentOps
Ensure solutions move from POC $B"*(B production at scale
Stakeholder Engagement
Act as a trusted advisor to business and technology leaders
Lead executive workshops and AI strategy sessions
Translate business needs into scalable AI and agentic solutions
Communicate progress, risks, and outcomes to leadership
Required Experience & Skills
AI / GenAI / Agentic AI
Deep experience in:
LLM-based solutions (RAG, prompt engineering, evaluation)
Agentic AI frameworks and multi-agent systems
Hands-on with Azure OpenAI and enterprise AI platforms
Experience with Copilot / autonomous agent frameworks
Strong understanding of:
Model Context Protocol (MCP)
Multi-model orchestration strategies
Experience with Responsible AI and governance models
Multi-Cloud & Platform Expertise
Experience across multiple hyperscalers (Azure, AWS, GCP)
Ability to design portable and scalable AI architectures across environments
Data & Engineering
Strong understanding of Microsoft Fabric and modern data architectures
Experience with data pipelines, lakehouse, semantic models, Azure SQL
Cloud & Architecture
Proven experience in enterprise cloud architecture design
API & microservices integration
CI/CD (Azure DevOps / GitHub Actions)
Containerization (Docker preferred)
Preferred
RAG architectures with vector databases, embeddings, semantic search
Exposure to Power BI and enterprise analytics integration
Familiarity with Purview or enterprise data governance tools
Leadership & Soft Skills
Executive presence with strong stakeholder management skills
Ability to connect strategy with execution
Experience leading enterprise AI / digital transformation programs
Strong communication and storytelling skills
Comfortable working in fast-paced innovation environments.
About the Company
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BIZTECHNOSYS INFOTECH LLP
INDUSTRY
Computer/IT Services