Forward Deployed AI Engineer

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.

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 is not only writing code. You'll understand client challenges, define technical implementation plans, connect engineering teams, solve integration problems, and ensure solutions deliver measurable results.

Your responsibilities

• Lead technical discovery with clients to understand their systems, data, workflows, security requirements, and technical challenges.
  • Translate business needs and approved architectures into clear technical plans, implementation priorities, and deployment activities.
  • Develop and integrate production-ready solutions using APIs, enterprise applications, cloud services, data platforms, and AI technologies.
  • Collaborate with AI Engineers, Software Engineers, Data Engineers, and Architects to coordinate technical implementation and resolve integration challenges.
  • Own technical deployment and rollout within the agreed scope, ensuring solutions operate reliably in client environments.
  • Work closely with client teams during implementation, resolve technical issues, support adoption, and enable users to operate deployed solutions.
  • Track technical delivery progress, production performance, costs, and measurable outcomes while documenting solutions and reusable engineering practices.

Who you are

You are a hands-on engineer who enjoys working directly with clients and solving complex technical challenges.

You can develop production-quality code, understand how different systems connect, and adapt solutions to real-world technical constraints.

You are comfortable working with incomplete requirements, collaborating with different engineering specialists, and taking ownership of technical delivery.

You combine technical expertise with strong communication, problem-solving, and client relationship skills.

What you bring

Experience

• Strong hands-on experience developing, integrating, and deploying production software, AI, data, or cloud solutions.
  • Experience writing, debugging, and maintaining production-quality code.
  • Experience integrating enterprise applications, APIs, data sources, authentication systems, and cloud services.
  • Proven ability to translate technical requirements into implementation plans and production deployments.
  • Experience working directly with clients or business stakeholders while maintaining technical ownership.
  • Strong communication skills, including the ability to explain technical decisions, risks, and implementation challenges to technical and non-technical audiences.

Technical skills

• Strong programming skills in at least one relevant language, such as Python, TypeScript/JavaScript, Java, or C#/.NET.
  • Experience with REST APIs, webhooks, enterprise integrations, and backend services.
  • Hands-on experience with at least one major cloud ecosystem, such as AWS, Azure, or GCP.
  • Understanding of software engineering practices, including Git, testing, CI/CD, containers, and production monitoring.
  • Familiarity with AI/GenAI technologies, including LLM APIs, RAG, AI agents, and AI-enabled workflows.
  • Knowledge of application security, authentication, identity management, and production deployment practices.

Nice to have

• Advanced experience building GenAI applications, RAG systems, or agentic workflows.
  • Experience with frameworks and tools such as LangGraph, MCP, OpenAI, Anthropic, or comparable technologies.
  • Background in backend, full-stack, data, or cloud/platform engineering.
  • Experience designing solutions for complex enterprise or regulated environments.
  • Consulting or professional services experience with multiple clients.
  • Experience in Forward Deployed Engineering, Customer Engineering, or other client-embedded technical roles.

What makes you successful

• You turn unclear technical requirements into practical implementation plans and working solutions.
  • You remain hands-on while coordinating engineering teams and solving complex integration challenges.
  • You communicate clearly with clients, manage technical dependencies, and make practical delivery decisions.
  • You measure success through reliable production solutions, business outcomes, and successful client adoption.

Role details

• Location: Colombia (remote)

• Contract: full-time

• Level: Experienced / Senior individual contributor

Rewards – What we offer at Keyrus

• International and multicultural projects
  • Opportunities to work with leading technologies in Data, Cloud, and AI ecosystems
  • Access to training programs and continuous professional development
  • Professional growth opportunities and internal mobility
  • A culture built on collaboration, innovation, and continuous learning

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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Originally posted on Himalayas