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Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Senior engineer maintaining and governing AI systems for public-sector clients, ensuring reliability, performance, and compliance with strict SLAs and governance standards.
Senior ML engineer building AI/ML systems for national security, turning research into production across cloud, edge, and air-gapped environments using Python, Docker, and modern frontend tools.
Build scalable data platforms and AI applications using Java/Spring Boot backend and Angular frontend, deploying on cloud infrastructure.
Senior Site Reliability Engineer designs, deploys, and maintains cloud-based AI infrastructure on Kubernetes and CNCF tools, ensuring reliability and performance while mentoring teams and customers.
An AI QA Engineer who designs and runs automated tests to validate AI models and algorithms, ensuring reliability and performance in AI systems.
The Lead Engineer will define AI QA strategy, lead testing efforts for AI initiatives, and mentor QA engineers. The role focuses on ensuring quality governance for AI, GenAI, and LLM-based applications.
Build and deploy LLM-based agent systems for automotive use cases, including reasoning pipelines, preference data training, and end-to-end applications for sales and support.
Booz Allen Hamilton is seeking an AI Software Engineer to develop user-focused AI and machine learning solutions that improve organizational efficiency and decision-making.
The MLOps Engineer will lead machine learning strategy and development, specifically focusing on Customer 360 initiatives. This is a 6-month contract role.
Design and implement AI-driven security automations for customers, advising on controls and collaborating with sales and success teams to solve real-world security challenges.
The AI Cloud Security Engineer will implement and manage security controls for Generative and Agentic AI workloads on AWS. The role focuses on establishing governance and protection using tools like AWS Bedrock Security Guardrails and CrowdStrike AIDR.
The Cloud Engineer will design, build, and deploy enterprise-grade AI agents using Google's Gemini Enterprise Agent Platform (GEAP). The role involves managing production infrastructure, integrating Model Context Protocol (MCP) servers, and ensuring system security and scalability.
The Senior Full Stack Engineer will build AI-enabled SDLC platform capabilities, including backend services, user interfaces, and agent orchestration flows to support autonomous software delivery.
The AI Solutions Architect will bridge business strategy and enterprise architecture by designing and implementing GenAI and LLM-based solutions. This senior role involves executive stakeholder management and the continuous evaluation of emerging AI technologies.
The Principal Full Stack Engineer will build and scale a GenAI platform to support AI agents across healthcare, legal, and tax industries. The role involves hands-on full-stack development, designing AI agent infrastructure, and implementing observability and CI/CD pipelines using technologies like TypeScript, Python, and various cloud services.
Owns end-to-end Data-as-a-Service products, defining vision, roadmap, and delivery for AI-powered consumer data solutions. Works with engineering, data science, and commercial teams to enhance data delivery (file transfer, APIs, clean rooms) and optimize pricing/distribution for enterprise clients.
An AI pre-sales architect advises Australian enterprises on deploying Claude (LLM) solutions, blending technical expertise with customer-facing skills to design scalable architectures and drive value while ensuring safety compliance.
Pre-sales Solutions Architect helping enterprise customers in Australia integrate Claude into their technology stacks—covering technical discovery, architecture design, eval frameworks, and deployment guidance across the Claude API and Claude for Work.
Designs and pitches scalable LLM solutions to enterprises, guiding them through Claude integration and adoption while collaborating with sales and engineering teams.
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