Forward Deployed Engineer 12+ Years exp--Remote w2 contract
Title: Forward Deployed Engineer Location: Remote Type: W2 Contract Lead Strategic Discovery: Identify high-impact AI opportunities by running hands-on workshops and aligning stakeholders. · Architect AI-Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration. · Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly. · Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components. · Drive Alignment: Influence customer and executive buy-in through clear storytelling and solution framing. · Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs. · Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets. What Success Looks Like · Solution-Ready Build Delivered: You deliver a validated AI solution-ready build within 8–12 weeks that directly addresses a business-critical problem. · Widespread Reuse: Your assets—from prompts to orchestration logic—are leveraged by other teams and codified for scale. · Platform Evolution: Your work contributes to shaping the Now Platform through structured product feedback and architectural influence. · Business Transformation: The AI solution you’ve led results in measurable gains in efficiency, automation, adoption, or satisfaction. · Production Trajectory: Your delivered solution becomes the foundation for scaled production deployment across customer environments. · Trusted Field Partner: Customers and internal stakeholders see you as a strategic, dependable, and technically credible partner.
Qualifications
What You Bring · Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. · Enterprise Experience: 15+ years of overall experience, with 5–7+ years in enterprise AI/ML architecture, field engineering, or solution consulting. Proven ability to lead initiatives from conception to delivery over at least 3+ years. · Technical Mastery: Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling. Experience designing full-stack intelligent workflows. · Cloud & Infrastructure Fluency: Deep hands-on experience with AWS, Azure, or GCP, including use of containers, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration patterns. · Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar. Ability to contribute to engineering discussions and code-level decisions. · Customer & Delivery Leadership: Comfortable operating in ambiguous, high-stakes environments. Experienced in guiding cross-functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation. About Invovia: Invovia is an AI-native engineering services firm headquartered in Pleasanton, California, operating globally across North America and APAC(India). We specialize in Forward Deployed Engineering, AI-accelerated delivery, legacy modernization, and safe agentic architecture — for enterprises that need AI working in production.