Senior Level AI Specialist Jobs
Senior level ai specialist jobs put experienced professionals in charge of AI strategy, model architecture decisions, and the technical teams or workstreams that deliver results at scale. Openings concentrate in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with 43% remote or hybrid availability, and employers like Veeam Software, Gartner, and Northwest Bank hiring at this level now.
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Showing 5 of 25+ Senior Level AI Specialist 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
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Find JobsSenior Level AI Specialist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software11
- Banking & Financial Services6
- Healthcare & Medical Services2
- Investment & Asset Management2
- Consulting & Professional Services2
Senior Level AI Specialist Jobs: Frequently Asked Questions
How do I get a senior level ai specialist job?
Employers hiring at this level look for candidates who have owned the full lifecycle of AI systems, from scoping and architecture through deployment and iteration. Demonstrated ability to mentor junior engineers, influence technical direction, and communicate tradeoffs to non-technical stakeholders gives candidates a clear edge. A portfolio of shipped models or production AI systems carries more weight than certifications alone.
Which companies hire senior level ai specialists?
Companies hiring senior level ai specialists right now include Veeam Software, Gartner, and Northwest Bank, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large technology companies, healthcare systems, financial institutions, and consulting firms that are scaling AI capabilities and need experienced professionals to lead those efforts.
Are there remote senior level ai specialist jobs?
Yes, remote and hybrid options are common at the senior level. About 43% of senior level ai specialist openings are remote or hybrid as of September 2026, reflecting how many organizations treat experienced AI professionals as location-flexible contributors. On-site roles do exist, particularly in regulated industries or at companies with significant on-premise infrastructure requirements.
What makes an ai specialist role senior level?
Senior level ai specialist roles are defined by ownership rather than execution. You are expected to set technical direction, make architectural decisions independently, mentor mid-level and junior team members, and align AI initiatives with broader business objectives. The scope is larger, the ambiguity is higher, and the expectation is that you resolve problems rather than escalate them.
Which industries hire the most senior level ai specialists?
Senior level ai specialist 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 demand because they are investing heavily in building or scaling AI infrastructure, and they need experienced specialists who can lead that work rather than learn on the job.