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Program Manager Artificial Intelligence Jobs in Missouri

Revolutional, LLC

Program Manager

Kansas City, MO

$165/hr

Direct all technical, operational, financial, and administrative aspects of program execution across security operations, incident response, threat intelligence, vulnerability management, and ...

Conch Technologies Inc

Program Manager

Saint Louis, MO · On-site

Program Manager Location: St. Louis, MO (Hybrid - 2 Days Onsite) Duration: 6+ Months W2 Contract We ... High emotional intelligence with the ability to navigate ambiguity and influence diverse ...

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Program Manager Artificial Intelligence information

What are the key skills and qualifications needed to thrive as a program manager artificial intelligence, and why are they important?

To thrive as a Program Manager in Artificial Intelligence, you need a strong understanding of AI concepts, project management methodologies, and experience overseeing technical teams, often supported by a degree in computer science or engineering and certifications like PMP. Familiarity with AI development tools, cloud platforms (such as AWS, Azure, or Google Cloud), and agile project management systems is typically required. Exceptional communication, stakeholder management, and problem-solving skills help you align cross-functional teams and drive projects to successful completion. These skills and qualities are crucial for delivering complex AI initiatives on time, within budget, and in alignment with organizational objectives.

How does a program manager artificial intelligence typically collaborate with data scientists and engineers on complex projects?

A Program Manager in AI acts as a crucial bridge between stakeholders, data scientists, and engineers to ensure projects align with business goals and technical feasibility. They coordinate regular meetings, facilitate clear communication of requirements, and help resolve blockers that arise during development. By translating business objectives into actionable tasks, they enable cross-functional teams to stay aligned and deliver results efficiently. Additionally, they often oversee timelines, resource allocation, and risk management to keep AI initiatives on track.

What is a program manager artificial intelligence?

Program Managers in Artificial Intelligence (AI) are professionals who oversee and coordinate AI projects and initiatives within an organization. They work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure that AI programs are delivered on time, within budget, and meet strategic goals. Their responsibilities typically include project planning, resource allocation, risk management, and communicating progress to leadership. Program Managers in AI also help bridge the gap between technical teams and business objectives, ensuring that AI solutions align with organizational priorities.
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Program Manager Artificial Intelligence jobs near you

Technology Architect | Artificial Intelligence | Artificial Intelligence - ALL

Spruce Infotech

Saint Louis, MO • On-site

Full-time

Posted 8 days ago

Job description

Work Location & Reporting Address Saint Louis, MO 63131
Vendor Rate XXX/hr.
Contract duration 12
Target Start Date 01 Aug 2026
Key Responsibilities:
Design and architect enterprise-grade AI/ML-powered Java applications on AWS cloud infrastructure
Define technical standards, patterns, and best practices for AI integration within Java ecosystems
Lead end-to-end architecture for microservices, APIs, and data pipelines supporting ML model serving
Conduct architecture reviews, threat modeling, and performance benchmarking
Mentor senior engineers and guide cross-functional teams on AI-first design principle
Required Skills:
Core Java & Architecture
Java 21+, Spring Boot, Spring AI
Microservices, event-driven architecture (Kafka, SQS/SNS)
REST/GraphQL API design, gRPC
Design patterns, Enterprise architecture and scaling
AI / ML Integration
Experience with Agentic AI / multi-agent frameworks at enterprise scale.
LLM integration via Anthropic Claude API, OpenAI, or AWS Bedrock
RAG architectures, vector databases (OpenSearch, Pinecone, pgvector)
Model serving, inference optimization, prompt engineering
Spring AI, Langgraph, Google ADK, A2A, MCP.
Prompt Engineering, prompt caching, Token optimization.
AWS
Core: EC2, ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, IAM, KMS, Secrets Manager, VPC security
AI: Bedrock, Agent Core.
Education
B.E./B.Tech/M.Tech in Computer Science or related field
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Define technical standards, patterns, and best practices for AI integration within Java ecosystems
Lead endtoend architecture for microservices, APIs, and data pipelines supporting ML model serving
Conduct architecture reviews, threat modeling, and performance benchmarking
Interview Process (Is face to face required?) Yes
Project Code: Code for MCity CB2 for SDITFLDTECH

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