Artificial Intelligence Engineer

Optomi; United States; On-site; USD 120,000 - 210,000; Full time

Job summary

Optomi is partnering with a leading consulting organization to build out a dedicated AI engineering team supporting client initiatives across industries. This generalist AI developer role focuses on concepts and implementation, not tied to a single technology or cloud.

You'll work across AWS, Azure, and GCP, applying AI/ML knowledge to real-world problems, collaborating with architects and business stakeholders, and delivering practical AI solutions.

Qualifications

• Experience designing or implementing AI-powered applications.
• Strong understanding of AI/ML concepts and generative AI.
• Familiarity with LLMs, AI agents, RAG, and AI APIs.

Responsibilities

• Design, develop, and implement AI-powered applications, tools, and solutions for client needs.
• Work with AI agents, LLMs, generative AI, RAG, AI workflows, and related technologies.
• Apply core AI engineering concepts to solve business and technical problems across industries.
• Work across AWS, Azure, and GCP, selecting technologies based on engagement needs.
• Develop solutions using a variety of languages, frameworks, APIs, and AI/ML tooling.
• Collaborate with architects, engineers, data professionals, and stakeholders to translate requirements.
• Evaluate emerging AI technologies and apply them to real-world client use cases.
• Contribute to architecture, development, testing, deployment, and improvement of AI solutions.
• Adapt to different technology environments and client requirements across engagements.

Skills

AI/ML concepts

LLMs / AI agents

Prompt engineering

Cross-cloud: AWS/Azure/GCP

Programming languages

Tools

APIs

DevTools

Job description

AI Developer / AI Engineer – Generalist (Any language, mid level to principal, USC or GC only)

Optomi is partnering with a leading consulting organization that is building out a dedicated AI engineering team to support a variety of client initiatives across industries.

This is a generalist AI development role for someone who understands the underlying concepts of building and implementing AI solutions rather than being tied to a specific technology, framework, or cloud platform. You will have the opportunity to work across AWS, Azure, and GCP, while gaining exposure to a wide range of programming languages, AI/ML technologies, development tools, and client environments.

The team is being built at multiple levels, from mid-level through Principal, with opportunities to work on everything from AI-powered applications and tools to intelligent agents and broader AI solutions.

What You'll Do

• Design, develop, and implement AI-powered applications, tools, and solutions for a variety of client needs.
• Work with AI agents, LLMs, generative AI, RAG, AI workflows, and related technologies.
• Apply core AI engineering concepts to solve business and technical problems across different industries.
• Work across AWS, Azure, and GCP, selecting technologies and services based on the needs of each engagement.
• Develop solutions using a variety of programming languages, frameworks, APIs, and AI/ML tooling.
• Collaborate with architects, engineers, data professionals, and business stakeholders to translate requirements into practical AI solutions.
• Evaluate emerging AI technologies and determine how they can be applied to real-world client use cases.
• Contribute to the architecture, development, testing, deployment, and ongoing improvement of AI solutions.
• Adapt to different technology environments and client requirements across consulting engagements.

What We're Looking For

• Experience developing or implementing AI-powered applications or solutions.
• Strong understanding of AI/ML and generative AI concepts, with the ability to apply those concepts across different technologies.
• Experience working with LLMs, AI agents, RAG, prompt engineering, AI APIs, or similar AI technologies.
• Exposure to one or more major cloud platforms, with the ability and interest to work across AWS, Azure, and GCP.
• Ability to learn and work with new technologies, frameworks, and tools quickly.
• Strong problem-solving skills and the ability to approach AI from both a technical and practical business perspective.
• Comfortable working in a consulting environment, where projects, technologies, and client requirements may change from engagement to engagement.

Why This Role

• Work on multiple AI initiatives and client engagements rather than being tied to a single product or technology stack.
• Gain hands-on exposure to AWS, Azure, and GCP.
• Work with a broad range of AI technologies, programming languages, frameworks, and development tools.
• Build experience across different industries and real-world AI use cases.
• Join a growing AI organization with opportunities ranging from mid-level through Principal.
• Work with emerging AI technologies and help shape how organizations apply AI to their businesses.