Forward Deployed Engineer – Agentic AI

Job not on LinkedIn

🔥 15 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Solvd, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. • Be part of a global team with equal opportunities for collaboration across continents and cultures. • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.