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Generative AI Engineer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Synergis
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Our client is a Fortune 50 enterprise and industry leader undergoing a major AI-driven transformation across its digital platforms and customer experiences. They are investing heavily in Generative AI, multi-agent systems, and enterprise-scale LLM applications to modernize internal operations and customer-facing solutions. This team sits at the forefront of that initiative, building production-grade GenAI systems on AWS that will directly impact millions of users nationwide.

Responsibilities
  • Designing, building, managing, and implementing GenAI solutions
  • Designing, building, and managing Agent-to-Agent and MCP (Model Context Protocol) servers
  • Integrating large language models (LLMs) into production systems via APIs, pipelines, and workflows
  • Partnering with data scientists, product managers, and cross-functional teams
  • Contributing to strategic AI initiatives and roadmap development
  • Designing and building reliable REST APIs
Required Qualifications
  • Experience designing, building, testing, and deploying enterprise-grade applications
  • Hands‑on experience with AWS services such as Lambda, ECS/Fargate, EC2, S3, Dynamo

    DB, and Amazon Open Search (vector search)
  • Familiarity with GenAI platforms like OpenAI, Anthropic, Gemini, AWS Bedrock/Strands
  • Preferred experience with AWS Bedrock and Agent Core
  • Strong engineering fundamentals including clean code, design patterns, unit/integration testing
  • Quality and automation mindset: CI/CD, code reviews, debugging, TDD/BDD, and security/compliance automation
  • Awareness of AI security risks such as prompt injection and data leakage
  • Working knowledge of RAG, vector databases, and LLM application patterns
Preferred Qualifications
  • Background in software engineering (backend/platform/full-stack); AI/LLM integration experience is a plus
  • Proven experience delivering production services on AWS; fintech/payments experience is highly desirable
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience
  • Certifications such as AWS CCP, AWS Solutions Architect, and AWS ML Specialty are advantageous
About Synergis

Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

For immediate consideration, please forward your resume to

If you require assistance or an accommodation in the application or employment process, please contact us at

Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals.

Learn more about Synergis at

The hourly pay rate range for this position is $70.00 to $100.00 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full‑time employees: medical, dental, vision, disability, life insurance, 401k and commuter benefits.

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