Senior Agentic Software Engineer — AI/ML Solutions

PowerToFly; Alabama; On-site; USD 128,000 - 253,000; Full time

Job summary

Deloitte GPS is seeking a senior technical leader to design and deploy AI/ML and generative AI solutions for government and public sector client programs in the United States. You will translate business needs into production-ready workflows and guide teams across data pipelines, model integration, and validation processes.

You will mentor junior engineers, collaborate with stakeholders, and drive responsible, repeatable delivery practices while applying cloud-native development across AWS,

Qualifications

• Bachelor's degree in a technical field and 6+ years of relevant experience.
• 6+ years of experience architecting, designing, building, testing, and deploying production technology solutions.
• 1+ years of experience with generative AI/LLM/agentic applications in production.

Responsibilities

• Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs.
• Translate business and functional requirements into technical plans, solution components, and production-ready workflows.
• Oversee data pipelines, model integration, validation processes, and scalable assets.
• Mentor junior practitioners and coordinate with stakeholders to drive delivery.

Skills

Python

SQL

AI/ML

Cloud platforms

JavaScript

Leadership

Mentoring

SDLC

Data pipelines

Travel

Education

Bachelor's degree in CS/Engineering/IS/Data Science/Math

Tools

OpenAI

Anthropic

AWS Bedrock

Azure OpenAI

Google Vertex AI

Job description

Deloitte GPS is seeking a senior technical leader to design and deploy AI/ML and generative AI solutions for government and public sector client programs in the United States. You will translate business needs into production-ready workflows and guide teams across data pipelines, model integration, and validation processes.

You will mentor junior engineers, collaborate with stakeholders, and drive responsible, repeatable delivery practices while applying cloud-native development across AWS,