Note: The job is a remote job and is open to candidates in USA. Solvd, Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across various domains. They are seeking a Forward Deployed Engineer to work directly with clients on GenAI and agentic AI initiatives, focusing on uncovering operational problems and delivering validated AI solutions.
Responsibilities
- Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints
- Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates
- Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints
- Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data
- Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling
- Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders
- Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment
- Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness
- Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles
- Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators
Skills
- 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
- 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
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