Top 56 ai solutions architect Jobs in st. louis, mo

AI Transformation Architect (PDLC)
Apexon —St. Louis, MO
- $138,203.27 - $166,438.33 a year
- Full-time
- Software development
- In-person
- Training & development
Quick Apply
Senior AI Engineer - SFL Scientific
Deloitte —St. Louis, MO
- $128,000 - $252,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
9d
AI Engineer
Equifax —St. Louis, MO
- Full-time
- Hybrid work
- Azure
- Management
- Research
- Health insurance
- Paid time off
Google Agentic AI Delivery Specialist
Accenture —St. Louis, MO
- $63,800 - $196,000 a year
- Full-time
- Hybrid work
- Computer Science
- Travel
- US work authorization
- Paid holidays
- Disability insurance
AI Engineer Consultant
Deloitte —St. Louis, MO
- $93,000 - $171,300 a year
- Full-time
- Azure
- Oracle
- Computer Science
AI Solutions Architect
Deloitte —St. Louis, MO
- $163,400 - $322,100 a year
- Full-time
- Computer science
- Azure
- Management
10d
AI Datacenter Associate VP
Deloitte —St. Louis, MO
- $171,600 - $338,300 a year
- Full-time
- 7 years
- Azure
- Up to 50% travel
8d
AI Engineer III
Deloitte —St. Louis, MO
- $113,100 - $208,300 a year
- Full-time
- Azure
- Oracle
- Computer Science
10d
Google Gemini Manager, Technical Transformation
Deloitte —St. Louis, MO
- $134,500 - $265,100 a year
- Full-time
- Up to 50% travel
- Bachelor of Science
- Master's degree
8d
Data Architect - Azure and Big Data
Perficient —St. Louis, MO
- Computer science
- Computer Science
- Master's degree
Quick Apply
Technical Commerce & AI Manager | Agentic Commerce
Accenture —St. Louis, MO
- $87,400 - $266,300 a year
- Full-time
- Azure
- Management
- 8 years
- Paid holidays
- Disability insurance
Microsoft D365 CRM + Copilot/AI Functional Lead, Manager
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $99,000 - $232,000 a year
- 8 years
- Bachelor's degree
- Continuous improvement
- Paid holidays
- Health insurance
Lead AI and Data Science Engineer - Manager
Deloitte —St. Louis, MO
- $141,200 - $278,300 a year
- Full-time
- Azure
- Computer Science
- 5 years
10d
Applied AI Engineer, Founding Team
Accenture —St. Louis, MO
- $68,300 - $218,800 a year
- Full-time
- Oracle
- Machine learning
- US work authorization
- Paid holidays
- Disability insurance
Technical Commerce & AI Consultant | Agentic Commerce
Accenture —St. Louis, MO
- $63,800 - $196,000 a year
- Full-time
- Azure
- Merchandising
- SQL
- Paid holidays
- Disability insurance
Senior AI Security Technical Architect
Edward Jones —St. Louis, MO
- $144,000 - $245,100 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Profit sharing
- Health savings account
Physical and Spatial AI Architect
Deloitte —St. Louis, MO
- $151,800 - $253,000 a year
- Full-time
- 6 years
- Management
- Computer Science
AI Data Engineer - Manager
Deloitte —St. Louis, MO
- $130,800 - $241,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
Principal Software Engineer-Agentic AI
Elsevier —St. Louis, MO
- $115,400 - $192,300 a year
- Full-time
- System design
- Databases
- Continuous improvement
Applied AI Health Data Architect-Senior Manager
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $124,000 - $280,000 a year
- HIPAA
- 8 years
- SQL
- Paid holidays
- Health insurance

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ai solutions architect jobs near st. louis, mo

AI Transformation Architect (PDLC)

Apexon -
St. Louis, MO

Quick Apply

Job Details

Full-time | Contract
$138,203.27 - $166,438.33 a year

Qualifications

Software deployment
Software development
Training & development
AI
Training delivery

Full Job Description

Job Title: AI Transformation Architect (PDLC)

Location : St. Louis (MO) onsite job

Job Summary

Overview

This role is a hands-on, embedded individual contributor that acts as a guide and coach to product and engineering teams as they adopt AI across the Product Development Lifecycle (PDLC). Rather than managing teams or owning delivery outcomes, these practitioners work directly within teams to experiment, apply AI in real workflows, and demonstrate what is possible. Their impact comes from doing the work alongside teams, surfacing what works, and codifying repeatable patterns that others can adopt and scale.

The role is designed for innovators who thrive in ambiguity, lead through influence, and accelerate adoption by example. Success is measured by the clarity and reusability of the patterns they leave behind, not by headcount, reporting lines, or program ownership.

Role

Knowledge

Deep understanding of the full PDLC, from ideation and requirements through design, development, testing, security, deployment, and operations, including where AI can meaningfully augment each stage.
Strong working knowledge of modern AI tooling, particularly generative AI assistants, automation frameworks, developer assistances (e.g. GHCP, Claude Code), and current / emerging best practices, with the ability to evaluate and adopt tools pragmatically rather than by vendor alignment.
Solid grounding in responsible AI, including data privacy, security, model risk management, and ethical principles, with experience embedding governance and compliance controls directly into delivery workflows.
Familiarity with defining and tracking metrics to measure AI impact on engineering and product outcomes, such as cycle time, defect rates, test coverage, and operational stability.

Skills

Ability to embed directly with teams and coach through hands-on application, working shoulder-to-shoulder with engineers, product managers, and QA to apply AI in real scenarios.
Ability to define and operationalize AI standards, patterns, and best practices, including usage guidelines, prompt conventions, reference architectures, and reusable templates.
Proven capability to design and deliver enablement programs, including playbooks, training materials, workshops, and hands-on coaching that translate AI concepts into practical day-to-day application.
Technical proficiency in integrating AI solutions into existing toolchains, such as IDEs, CI/CD pipelines, testing frameworks, and monitoring platforms, including rapid prototyping to demonstrate value.
Strong communication and change leadership skills, with the ability to influence executives and earn credibility with engineering and product teams, addressing concerns and driving adoption through visible outcomes.

Abilities

Strategic thinker who can define a phased roadmap for AI adoption across the PDLC that aligns with business objectives and ties each initiative to clear value.
Strong cross-functional influencer capable of bridging product, engineering, devops, security, and compliance, ensuring AI improvements are coordinated rather than siloed.
Systems-oriented problem solver who can redesign workflows to fully leverage AI capabilities, not simply automate existing steps.
Outcome-focused and adaptable leader who drives toward measurable results while maintaining quality, safety, and compliance, and continuously refines approaches based on feedback and data.

About you

Experience

Ten or more years of experience in software development, platform engineering, or technology consulting, with significant exposure to AI-enabled or DevOps-driven transformation initiatives.
Demonstrated success working in large, complex, and regulated enterprise environments, with hands-on experience navigating governance, security, and compliance constraints.
Prior experience acting as a change agent, program lead, consultant, or internal champion, influencing teams without formal authority and engaging both senior leaders and delivery teams.
History of building repeatable assets such as playbooks, toolkits, templates, or reference models that scale beyond individual teams and reduce dependency on ongoing staff augmentation.

Outcomes

Tangible examples of AI-driven improvements you personally helped teams achieve, such as reduced cycle time, improved product quality, increased test coverage, or reduced operational toil.
Clear evidence of measurable delivery impact from prior AI initiatives, such as reduced development cycle time, increased test automation and coverage, improved production stability, or reduced operational toil.
Proven ability to translate experimentation into sustainable capability by leaving behind reusable patterns, standards, and self-sustaining practices.
Track record of helping organizations adopt AI responsibly, balancing speed with risk mitigation and embedding controls rather than treating governance as a separate gate.
Proven ability to leave behind self-sustaining capabilities, not dependency, by turning experimentation into repeatable, well-documented patterns.

Pay: $138,203.27 - $166,438.33 per year

Work Location: In person

Quick Apply

Refine Your Search

ai solutions architect jobs in st. louis, mo

AI Transformation Architect (PDLC)

Senior AI Engineer - SFL Scientific

AI Engineer

Google Agentic AI Delivery Specialist

AI Engineer Consultant

AI Solutions Architect

AI Datacenter Associate VP

AI Engineer III

Google Gemini Manager, Technical Transformation

Data Architect - Azure and Big Data

Technical Commerce & AI Manager | Agentic Commerce

Microsoft D365 CRM + Copilot/AI Functional Lead, Manager

Lead AI and Data Science Engineer - Manager

Applied AI Engineer, Founding Team

Technical Commerce & AI Consultant | Agentic Commerce

Senior AI Security Technical Architect

Physical and Spatial AI Architect

AI Data Engineer - Manager

Principal Software Engineer-Agentic AI

Applied AI Health Data Architect-Senior Manager

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