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Posted on 2026/01/17

AI Enablement

Jobs via Dice

San Diego, CA, United States

Contractor

Qualifications

  • Knowledge bases and retrieval workflows
  • Required Skills & Experience
  • Core AI & AWS Expertise (Must-Have)
  • Extensive hands-on experience with AWS Bedrock, including:
  • Model selection (Anthropic, Titan, Llama, Cohere, etc.)
  • Agent-based architectures
  • Knowledge bases, grounding, and guardrails
  • LLM lifecycle and prompt engineering
  • Proven ability to build AWS-native solutions using:
  • Lambda, API Gateway, Textract, Kendra, S3, IAM
  • Strong understanding of multi-agent frameworks and orchestration patterns
  • Software Engineering & Integration
  • Experience with event-driven and serverless architectures
  • Cloud Platform Breadth
  • Working knowledge of Google Cloud / Vertex AI
  • Problem Solving & Leadership
  • Ability to advise and mentor teams
  • Strong research and solution-creation mindset
  • Excellent communication with technical and business stakeholders
  • Enterprise-scale AI deployment experience
  • Low-code platform experience (Power Apps, OutSystems, ServiceNow App Engine, etc.)
  • Additional Strategic Responsibilities (Highly Valued)
  • Integration & SaaS Expertise

Benefits

  • Pay And Benefits
  • The pay range for this position is $ $100.00/hr
  • Eligibility requirements apply to some benefits and may depend on your job classification and length of employment
  • Benefits are subject to change and may be subject to specific elections, plan, or program terms
  • Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Responsibilities

  • You'll play a pivotal role in shaping its next phase of AI-driven transformation
  • You'll create AI agents, orchestrate multi-agent solutions, guide engineering teams, build integrations, solve complex technical blockers, and help shape an enterprise-wide AI roadmap
  • Experience with Google Vertex AI or Microsoft Copilot is a plus, but AWS is the priority
  • Design and develop solutions using AWS Bedrock, including:
  • AI agent creation and orchestration
  • Multi-agent collaboration models
  • Guardrails, grounding, evaluation, and prompt strategy
  • Build serverless components using:
  • AWS Lambda, API Gateway, S3, DynamoDB, Step Functions
  • Develop low-code integrations using Lambda and other AWS services
  • Technical Leadership & Enablement
  • Advise architects, developers, and application teams on best practices
  • Provide architectural patterns and troubleshoot complex issues
  • Research emerging models, tools, connectors, and capabilities
  • Recommend technical approaches for new business requirements
  • Partner with product, application, and cloud teams to design end-to-end AI integrations
  • Support solution scoping, feasibility assessments, and estimation
  • Ensure AI capabilities integrate smoothly into low-code and traditional environments
  • Operational & Process Leadership
  • Contribute to AI governance, cost optimization, and model selection
  • Help build internal documentation, patterns, and reusable components
  • Support the recruiting pipeline by identifying strong hands-on AI builders
  • Building and consuming APIs in AWS
  • Integrating LLM workflows into applications and low-code platforms
  • Define and execute multi-year AI roadmaps
  • Enablement & Change Management
  • Deliver workshops, internal training, and AI literacy programs
  • Act as an internal catalyst for AI-driven transformation
  • Translate organizational needs into actionable AI solutions
  • Bring AI capabilities into existing enterprise systems and SaaS providers
  • Improve workflows and productivity with AI-assisted tools
  • Governance & Responsible AI
  • Contribute to ethical, secure, compliant AI practices
  • Collaborate with security, legal, and compliance teams
  • Measurement & Reporting
  • Track impact, usage, ROI, and improvements using dashboards and analytics
  • Lead transformative projects with real organizational value
  • Work with forward-thinking leaders who embrace innovation
  • Drive cultural change and empower teams with AI

Full Description

Location:

Rancho Bernardo, CA - Hybrid (approx. 3 days onsite; flexible based on team needs)

Engagement:

Temp-to-Perm

About The Opportunity

Join a major enterprise environment supporting thousands of end-users and hundreds of mission-critical applications across cloud, low-code, and legacy platforms.

You'll play a pivotal role in shaping its next phase of AI-driven transformation.

With 400+ applications, substantial AWS cloud adoption, and several no-code/low-code workflows already in motion, this is an opportunity to build AI solutions at true enterprise scale.

Role Summary

The AI Enablement / Innovation Lead is a hands-on builder and strategist who will architect, design, and deliver enterprise AI capabilities-centered primarily on Amazon Web Services (AWS), especially Amazon Bedrock and its surrounding ecosystem.

You'll create AI agents, orchestrate multi-agent solutions, guide engineering teams, build integrations, solve complex technical blockers, and help shape an enterprise-wide AI roadmap.

Experience with Google Vertex AI or Microsoft Copilot is a plus, but AWS is the priority.

Key Responsibilities

AI Architecture & Build

Design and develop solutions using AWS Bedrock, including:

AI agent creation and orchestration

Multi-agent collaboration models

Knowledge bases and retrieval workflows

Guardrails, grounding, evaluation, and prompt strategy

Build serverless components using:

AWS Lambda, API Gateway, S3, DynamoDB, Step Functions

Develop low-code integrations using Lambda and other AWS services.

Technical Leadership & Enablement

Advise architects, developers, and application teams on best practices.

Provide architectural patterns and troubleshoot complex issues.

Research emerging models, tools, connectors, and capabilities.

Recommend technical approaches for new business requirements.

Cross-Functional Collaboration

Partner with product, application, and cloud teams to design end-to-end AI integrations.

Support solution scoping, feasibility assessments, and estimation.

Ensure AI capabilities integrate smoothly into low-code and traditional environments.

Cloud AI Breadth

Primary:

AWS (Bedrock, Serverless, Model Ops)

Secondary:

Google Vertex AI

Tertiary:

Microsoft Copilot / Azure AI

Operational & Process Leadership

Contribute to AI governance, cost optimization, and model selection.

Help build internal documentation, patterns, and reusable components.

Support the recruiting pipeline by identifying strong hands-on AI builders.

Required Skills & Experience

Core AI & AWS Expertise (Must-Have)

Extensive hands-on experience with AWS Bedrock, including:

Model selection (Anthropic, Titan, Llama, Cohere, etc.)

Agent-based architectures

Knowledge bases, grounding, and guardrails

LLM lifecycle and prompt engineering

Proven ability to build AWS-native solutions using:

Lambda, API Gateway, Textract, Kendra, S3, IAM

Strong understanding of multi-agent frameworks and orchestration patterns.

Software Engineering & Integration

Building and consuming APIs in AWS.

Integrating LLM workflows into applications and low-code platforms.

Experience with event-driven and serverless architectures.

Cloud Platform Breadth

Working knowledge of Google Cloud / Vertex AI.

Problem Solving & Leadership

Ability to advise and mentor teams.

Strong research and solution-creation mindset.

Excellent communication with technical and business stakeholders.

Preferred Experience

Enterprise-scale AI deployment experience.

Low-code platform experience (Power Apps, OutSystems, ServiceNow App Engine, etc.).

Additional Strategic Responsibilities (Highly Valued)

AI Strategy & Roadmapping

Define and execute multi-year AI roadmaps.

Identify high-value AI use cases across the enterprise.

Lead POCs and prototypes for emerging AI capabilities.

Enablement & Change Management

Deliver workshops, internal training, and AI literacy programs.

Build AI adoption playbooks and "AI Champion" communities.

Innovation Leadership

Act as an internal catalyst for AI-driven transformation.

Translate organizational needs into actionable AI solutions.

Integration & SaaS Expertise

Bring AI capabilities into existing enterprise systems and SaaS providers.

Improve workflows and productivity with AI-assisted tools.

Governance & Responsible AI

Contribute to ethical, secure, compliant AI practices.

Collaborate with security, legal, and compliance teams.

Measurement & Reporting

Track impact, usage, ROI, and improvements using dashboards and analytics.

Why Apply?

Shape the AI future of a large, high-impact enterprise.

Lead transformative projects with real organizational value.

Work with forward-thinking leaders who embrace innovation.

Drive cultural change and empower teams with AI.

This role is ideal for someone who loves building, is deeply hands-on, and wants to influence an entire organization's AI evolution.

Job Type & Location

This is a Contract to Hire position based out of San Diego, CA.

Pay And Benefits

The pay range for this position is $ $100.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.

Benefits are subject to change and may be subject to specific elections, plan, or program terms.

If eligible, the benefits available for this temporary role may include the following:

Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in San Diego,CA.

Application Deadline

This position is anticipated to close on Jan 23, 2026.

About TEKsystems:

We're partners in transformation.

We help clients activate ideas and solutions to take advantage of a new world of opportunity.

We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.

As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change.

That's the power of true partnership.

TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems And TEKsystems Global Services

We're a leading provider of business and technology services.

We accelerate business transformation for our customers.

Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions.

We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed.

We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology.

We're building tomorrow by delivering business outcomes and making positive impacts in our global communities.

TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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