AI/ML Engineer

Involved Solutions LTD.; Texas; Vor Ort; USD 120.000 - 150.000; Vollzeit

Zusammenfassung

Involved Solutions is seeking a Senior AI/ML Engineer to architect and deploy production-ready AI systems. This role involves building scalable AI pipelines across leading platforms and ensuring compliance with regulatory frameworks.

The ideal candidate has over 5 years of experience in cloud-native systems, strong Python skills, and a background in MLOps. The position offers the opportunity to work in a client-facing environment driving AI solutions for government clients.

Qualifikationen

• 5+ years of experience in cloud-native systems including microservices and APIs.
• 3+ years with AI platforms and LLM frameworks for pipeline development.
• 1+ year of production experience with agentic AI systems.

Aufgaben

• Architect and deploy production-ready agentic AI systems.
• Build multi-provider AI pipelines across platforms like OpenAI and Google Vertex AI.
• Lead proof of concepts and design workshops for client adoption.

Kenntnisse

Cloud-native systems development

Python

AI platforms

MLOps

Communication

Tools

TensorFlow

PyTorch

Hugging Face

Kubernetes

Docker

Jobbeschreibung

We have partnered with a global AI‑led professional services firm specialising in advisory, technology and managed services across the government and commercial sectors to appoint an AI/ML Engineer. This is a senior hands‑on role for an engineer who thrives in a client‑facing delivery environment, building and deploying production‑grade AI systems that solve real problems at scale. You will play a central role in shaping how the firm engineers and delivers AI solutions across a growing portfolio of government and public sector clients.

This role suits someone who combines deep technical capability with the communication skills and commercial awareness to operate as a trusted partner to clients and internal stakeholders alike. If you have built agentic AI systems in production and want to do it at scale inside a firm with serious delivery ambition, this is worth your attention.

About the role:

• Architect and deploy production‑ready agentic AI systems, covering orchestration, retrieval, tool use, policy routing and end‑to‑end observability
• Build portable, multi‑provider AI pipelines spanning platforms including OpenAI, Anthropic and Google Vertex AI
• Develop cloud‑native systems leveraging Kubernetes, Docker, serverless architectures, event‑driven design and CI/CD tooling
• Translate client and business requirements into scalable agentic workflows that automate complex processes and deliver measurable outcomes
• Lead proof of concepts, design workshops and joint engineering sessions to accelerate client adoption
• Own performance monitoring across accuracy, latency, cost and reliability, and define the standards the team works to
• Ensure solution compliance with applicable regulatory frameworks including HIPAA and SOC 2
• Mentor junior engineers and contribute to internal frameworks, reusable patterns and the firm’s broader AI engineering strategy

About you:

• 5+ years of experience building and deploying cloud‑native systems including microservices, APIs, containerisation and serverless architectures
• 3+ years working with leading AI platforms and open‑source LLM frameworks with hands‑on experience across multi‑provider pipeline development
• 1+ year of production experience with agentic AI systems including RAG pipelines, orchestration frameworks and workflow automation
• Strong Python skills alongside experience with TensorFlow, PyTorch or Hugging Face
• Solid grounding in MLOps including CI/CD, continuous training, observability and automated monitoring
• Track record of delivering medium to large‑scale AI/ML projects with demonstrable business impact
• Strong communicator with the ability to work effectively across engineering, client and business teams
• US citizenship or Green Card required
• Familiarity with healthcare interoperability standards such as FHIR and HL7 is advantageous
• Certifications in AI, cloud platforms or agentic tooling are a plus