Senior Level AI Jobs
Senior level ai jobs place experienced professionals in ownership of system architecture, research direction, and the cross-functional teams that ship production AI at scale. Roles are concentrated across Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with a mix of on-site, remote, and hybrid settings, and employers like Gartner, Northwest Bank, and EXL hiring at this level now.
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🚀 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 14 Senior Level AI Jobs
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
- Investment & Asset Management
- Fintech
Senior Level AI Jobs: Frequently Asked Questions
How do I get a senior level ai job?
Employers at this level look for candidates who have led end-to-end AI projects, not just contributed to them. Demonstrated ownership of model development, deployment pipelines, or research programs carries more weight than credentials alone. A portfolio showing measurable production impact, along with experience mentoring engineers or presenting technical direction to stakeholders, gives candidates a real edge over peers with similar years of experience.
Which companies hire senior level ais?
Companies hiring senior level ais right now include Gartner, Northwest Bank, and EXL, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a broad range of employers, including large technology firms, AI-native startups scaling their research teams, and enterprise organizations building internal AI capabilities across product and infrastructure functions.
Are there remote senior level ai jobs?
Yes, remote opportunities are well represented at this experience level. About 33% of senior level ai openings are remote or hybrid as of September 2026, reflecting the industry's continued appetite for distributed technical talent. Senior ai professionals with strong async communication skills and experience leading distributed teams are particularly well positioned for these roles.
What makes an ai role senior level?
Senior ai roles are defined by scope and ownership rather than task execution. At this level, professionals are expected to set technical direction, make architectural decisions, and take accountability for outcomes across a project or product area. Mentoring junior and mid-level engineers, collaborating with product and business stakeholders, and driving research or engineering strategy are standard expectations that distinguish senior roles from mid-level positions.
Which industries hire the most senior level ais?
Senior level ai roles concentrate in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are deploying AI at production scale, require deep technical leadership to manage complex systems, and compete intensely for professionals who can own outcomes rather than simply execute assigned work.