Forward Deployed AI Engineer

Job Description

Job Description

Why Keyrus, Why Now!

Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value.

Building AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes.

At Keyrus, you'll work closely with clients to turn AI opportunities into production-ready solutions, connecting engineering expertise with real business needs.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role details

• Location: United States (Remote)
• Contract: Permanent, full-time

What you'll architect

As a Forward Deployed AI Engineer, you'll work directly with clients to take AI solutions from technical discovery through implementation, deployment, and adoption.

You'll combine hands-on software engineering, enterprise integrations, cloud technologies, and AI capabilities to deliver solutions that work in real client environments.

Your focus goes beyond writing code. You'll understand client challenges, define implementation plans, coordinate technical teams, and deliver measurable business results.

Your responsibilities

• Lead technical discovery with clients to understand their systems, data, workflows, and integration requirements.
• Translate business needs and approved architectures into practical implementation plans.
• Develop production-ready solutions integrating APIs, enterprise applications, cloud services, data platforms, and AI technologies.
• Collaborate with AI Engineers, Architects, and Data Engineers to resolve technical challenges and deliver integrated solutions.
• Own technical deployment and rollout within the agreed scope, ensuring reliable production performance.
• Work closely with client teams to troubleshoot issues, support adoption, and improve implemented solutions.
• Monitor performance, costs, and business outcomes while documenting reusable engineering practices.
• Turn successful implementations into reusable Keyrus assets, including integration patterns, deployment practices, technical documentation, and implementation guidance for future engagements.

Who you are

You are a hands-on engineer with a strong consulting mindset who enjoys solving complex business and technical challenges. You develop production-quality code, understand enterprise integrations, and adapt solutions to real-world constraints. You are comfortable working directly with clients, managing evolving requirements, and taking ownership of technical delivery. You combine strong engineering skills with excellent communication, problem-solving, and collaboration.

What you bring

Experience

• 5+ years of professional experience in software engineering, cloud engineering, enterprise integration, or related technical delivery roles.
• Hands-on experience developing, integrating, and deploying production software or AI-enabled solutions.
• Experience building and maintaining backend services, APIs, and enterprise integrations.
• Experience working with cloud platforms, deployment processes, and production environments.
• Ability to translate business requirements into technical implementation plans.
• Strong client-facing consulting experience, including communicating technical decisions and working with business stakeholders.

Technical skills

• Strong programming skills in Python, TypeScript/JavaScript, Java, C#, or similar languages.
• Experience with REST APIs, backend services, authentication, and enterprise integrations.
• Hands-on experience with AWS, Azure, or Google Cloud.
• Knowledge of Git, CI/CD, testing, containers, and production monitoring.
• Familiarity with LLM APIs, RAG, AI agents, and GenAI application integration.
• Understanding of application security, system reliability, and cloud deployment practices.

Nice to have

• Experience developing production GenAI applications or agentic workflows.
• Familiarity with LangGraph, MCP, OpenAI, Anthropic, or similar technologies.
• Experience with Kubernetes, Docker, or infrastructure as code.
• Background in backend, full-stack, data, or cloud engineering.
• Experience delivering solutions in regulated or complex enterprise environments.
• Previous experience in consulting, professional services, or client-embedded engineering roles.

What makes you successful

• You turn complex challenges into practical solutions.
• You take ownership of technical delivery and integration.
• You communicate clearly and collaborate effectively with clients and teams.
• You deliver reliable solutions that create measurable business value.

WHAT WE OFFER (KUS)

• A stimulating environment where you will be able to surpass yourself and discover new horizons.

• A strong culture of innovation and entrepreneurship.

• Health insurance for you and your family members.

• 401K plan.

• Monthly Wellness Allowance.

• 4 weeks of paid vacation;

• Language courses (French & English)

• Access to continuing education (in-house, conferences, events, courses, certifications, etc.)

The expected base compensation for this position ranges from $135,000 to $155,000 USD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.

About Keyrus

At Keyrus, we help organizations move from experimental to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution.

As Architects of Intelligence, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so that it creates sustainable, measurable value.

Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:

• Intelligence Foundations
• Human in Command governance
• Performance Steering

With over 30 years of expertise and 3,000 experts across 30 countries, we build adaptive, resilient intelligent environments where technology amplifies human capability and performance compounds over time.

AI does not transform businesses. Architected intelligence does.

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