We are looking for a Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption.

You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome.

Role mission:

Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions.

You will help move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators.

A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain.
Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows.
Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions.
Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs.
Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives.
Pragmatic, curious, collaborative and obsessed with customer problem - equally focused on technical soundness, business value, user adoption and delivery readiness.
8+ years of experience in IT, including strong experience in software design and engineering.
2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock.
Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements.
Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns.
Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models.
Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings.
Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases.
Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices.
Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps.
Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively.

Optional:

Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead.
Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores.
Familiarity with frameworks for agentic or multi-component AI pipelines.
Exposure to Responsible AI, data privacy and governance frameworks.
Hands-on experience with Databricks or Snowflake.
Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators.
Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google.

17 openings across locations