Senior Level AI Program Manager Jobs
Senior level ai program manager jobs place experienced professionals in charge of AI initiative strategy, cross-functional execution, and the delivery outcomes their organizations depend on. Roles are distributed across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with 40% remote or hybrid flexibility, and employers like JPMorganChase, Apple, and Gartner hiring at this level now.
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Showing 5 of 30+ Senior Level AI Program Manager jobs
🚀 Hiring: Principal AI Engineer
We’re looking for a hands-on Principal AI Engineer to join a brand-new AI engineering organization building innovative GenAI/LLM solutions for a leading financial services organization. This is a greenfield opportunity where you’ll help shape the technical strategy, architecture, engineering standards, and AI capabilities from the ground up.
📍 Location: Covington, KY
🏢 Work Model: Onsite (5 Days in a week)
📌 Experience: 8+ years of software engineering experience with a Bachelor's degree or equivalent experience
🔥 What You'll Do
- Architect and build production-grade AI/GenAI applications from concept through deployment
- Develop solutions using LLMs, AI agents, RAG, semantic search, and workflow automation
- Design scalable enterprise AI platforms and distributed systems
- Partner with product, business, data science, architecture, and engineering teams to identify high-value AI use cases
- Establish engineering best practices and technical standards for a new AI organization
- Mentor engineers and provide technical leadership across teams
- Build secure, reliable, cloud-native applications at enterprise scale
- Translate emerging AI capabilities into practical business solutions that improve productivity and automate workflows
🧠 Top Skills
1️⃣ AI & LLM Engineering
- OpenAI
- Claude / Anthropic
- Gemini
- AWS Bedrock
- LangChain
- LangGraph
- CrewAI
- Python
- AI Agents / Agentic AI
- RAG
- Prompt Engineering
- Workflow Automation
2️⃣ Data Engineering & AI Data Foundations
- Snowflake
- Databricks
- Data Pipelines
- ETL / ELT
- Pinecone
- Weaviate
- Chroma
- Semantic Search
- Knowledge Retrieval
- Enterprise Data Architecture
3️⃣ Cloud Architecture, Scale & Security
- AWS / Azure
- Docker
- Kubernetes
- Terraform
- Microservices
- Cloud-Native Architecture
- Distributed Systems
- Security & Scalability
⭐ Ideal Background
We’re looking for someone who is more than an AI developer — you should be a Principal-level technical leader who can architect, build, and take AI solutions into production. The ideal candidate brings:
- Strong GenAI/LLM engineering experience
- Hands-on experience building RAG and agentic AI solutions
- Strong Python/software engineering background
- Enterprise data engineering experience
- Cloud architecture and distributed systems expertise
- Experience with containers, Kubernetes, and Infrastructure-as-Code
- Strong architecture and system-design skills
- Experience mentoring engineers and influencing technical direction
- Ability to work directly with business and product stakeholders
- Experience taking AI solutions from POC → production
💡 Example AI Use Cases
The team will work on solutions such as:
- Automated meeting preparation and research
- Intelligent call summarization and insight generation
- Automated follow-up and workflow orchestration
- Enterprise knowledge retrieval and recommendation systems
- AI-assisted decision support
- Productivity and workflow automation using enterprise data
📞 Interview Process
2–3 rounds
1. Initial Zoom/phone screen
2. Technical interview with engineering/architecture team
3. Product/business discussion
If you're a Principal/Staff-level AI Engineer who wants to help build an AI organization from the ground up, I'd love to connect.
📩 Interested? Send me your resume on abhishek.bisht@mastechdigital.com or apply on this job post.
Hiring #AIJobs #PrincipalEngineer #AIEngineer #GenerativeAI #GenAI #LLM #ArtificialIntelligence #RAG #AIAgents #LangChain #LangGraph #Python #AWS #Azure #Kubernetes #Snowflake #Databricks #CloudArchitecture #MachineLearning #TechJobs #KentuckyJobs #CovingtonKY
🚀 Hiring: Principal AI Engineer
We’re looking for a hands-on Principal AI Engineer to join a brand-new AI engineering organization building innovative GenAI/LLM solutions for a leading financial services organization. This is a greenfield opportunity where you’ll help shape the technical strategy, architecture, engineering standards, and AI capabilities from the ground up.
📍 Location: Covington, KY
🏢 Work Model: Onsite (5 Days in a week)
📌 Experience: 8+ years of software engineering experience with a Bachelor's degree or equivalent experience
🔥 What You'll Do
- Architect and build production-grade AI/GenAI applications from concept through deployment
- Develop solutions using LLMs, AI agents, RAG, semantic search, and workflow automation
- Design scalable enterprise AI platforms and distributed systems
- Partner with product, business, data science, architecture, and engineering teams to identify high-value AI use cases
- Establish engineering best practices and technical standards for a new AI organization
- Mentor engineers and provide technical leadership across teams
- Build secure, reliable, cloud-native applications at enterprise scale
- Translate emerging AI capabilities into practical business solutions that improve productivity and automate workflows
🧠 Top Skills
1️⃣ AI & LLM Engineering
- OpenAI
- Claude / Anthropic
- Gemini
- AWS Bedrock
- LangChain
- LangGraph
- CrewAI
- Python
- AI Agents / Agentic AI
- RAG
- Prompt Engineering
- Workflow Automation
2️⃣ Data Engineering & AI Data Foundations
- Snowflake
- Databricks
- Data Pipelines
- ETL / ELT
- Pinecone
- Weaviate
- Chroma
- Semantic Search
- Knowledge Retrieval
- Enterprise Data Architecture
3️⃣ Cloud Architecture, Scale & Security
- AWS / Azure
- Docker
- Kubernetes
- Terraform
- Microservices
- Cloud-Native Architecture
- Distributed Systems
- Security & Scalability
⭐ Ideal Background
We’re looking for someone who is more than an AI developer — you should be a Principal-level technical leader who can architect, build, and take AI solutions into production. The ideal candidate brings:
- Strong GenAI/LLM engineering experience
- Hands-on experience building RAG and agentic AI solutions
- Strong Python/software engineering background
- Enterprise data engineering experience
- Cloud architecture and distributed systems expertise
- Experience with containers, Kubernetes, and Infrastructure-as-Code
- Strong architecture and system-design skills
- Experience mentoring engineers and influencing technical direction
- Ability to work directly with business and product stakeholders
- Experience taking AI solutions from POC → production
💡 Example AI Use Cases
The team will work on solutions such as:
- Automated meeting preparation and research
- Intelligent call summarization and insight generation
- Automated follow-up and workflow orchestration
- Enterprise knowledge retrieval and recommendation systems
- AI-assisted decision support
- Productivity and workflow automation using enterprise data
📞 Interview Process
2–3 rounds
1. Initial Zoom/phone screen
2. Technical interview with engineering/architecture team
3. Product/business discussion
If you're a Principal/Staff-level AI Engineer who wants to help build an AI organization from the ground up, I'd love to connect.
📩 Interested? Send me your resume on abhishek.bisht@mastechdigital.com or apply on this job post.
Hiring #AIJobs #PrincipalEngineer #AIEngineer #GenerativeAI #GenAI #LLM #ArtificialIntelligence #RAG #AIAgents #LangChain #LangGraph #Python #AWS #Azure #Kubernetes #Snowflake #Databricks #CloudArchitecture #MachineLearning #TechJobs #KentuckyJobs #CovingtonKY
See All 30 Senior Level AI Program Manager Jobs
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Find JobsSenior Level AI Program Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software10
- Banking & Financial Services7
- Investment & Asset Management4
- Retail2
- Fintech2
Senior Level AI Program Manager Jobs: Frequently Asked Questions
How do I get a senior level ai program manager job?
Employers at this level look for candidates who have owned complex AI or machine learning programs end-to-end, not just contributed to them. Demonstrating that you have aligned engineering, data science, and business stakeholders toward shared delivery milestones is what separates competitive applicants. Experience mentoring junior program managers and shaping program governance frameworks gives candidates a clear edge in hiring at this stage.
Which companies hire senior level ai program managers?
Companies hiring senior level ai program managers right now include JPMorganChase, Apple, and Gartner, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to concentrate in organizations with established or rapidly scaling AI practices, including large technology firms, consulting groups, and enterprises undergoing AI-driven transformation.
Are there remote senior level ai program manager jobs?
Yes, remote and hybrid opportunities are common at this level. About 40% of senior level ai program manager openings are remote or hybrid as of September 2026, reflecting how many organizations have normalized distributed leadership for program management roles. On-site roles do appear, most often tied to defense, government, or manufacturing environments.
What makes an ai program manager role senior level?
Senior level ai program manager roles are defined by scope, ownership, and influence rather than task execution. At this stage, you are expected to set program direction, resolve ambiguity across organizational boundaries, and be accountable for outcomes rather than activities. You are also typically responsible for mentoring earlier-career program managers and contributing to how your organization structures and governs AI delivery more broadly.
Which industries hire the most senior level ai program managers?
Senior Level ai program manager roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are either embedding AI into core products and operations or scaling existing AI programs that require experienced leadership to sustain delivery quality and organizational alignment.