Staff Forward Deployed Engineer

Responsibilities

End-to-End Customer Delivery & Ownership

• Own the full delivery cycle: discovery, technical scoping, agent design, implementation, rollout support, and enablement of customer and customer engineering teams for long-term support.
• Collaborate with customers and business stakeholders to translate real-world problems into concrete technical solutions.
• Define success metrics tied to adoption, performance, and business outcomes, and measure against them.

Agent Architecture, Build, & Production

• Design and implement robust agentic workflows using Reltio’s Agent Flow platform that integrate with core systems and event sources.
• Orchestrate multi-stage behaviors, including context-aware workflows and human-in-the-loop interactions.
• Build production-grade components with observability, graceful error handling, fallback strategies, cost governance, and security controls suitable for regulated industries.

Evaluation, Observability & Quality

• Use automated evaluation frameworks and monitoring dashboards to measure agent accuracy, reliability, throughput, false positives and negatives, and business KPIs.
• Implement observability, tracing, and logging to analyze decisions and tool invocations for debugging and governance.
• Develop regression tests, evaluation datasets, and safety guardrails to reduce risk and improve system maturity.

Reusable Assets & Knowledge Sharing

• Encode successful patterns into templates, connectors, reference implementations, and architecture blueprints for internal reuse.
• Publish reusable agent skills, integrations, and accelerators that reduce delivery time across customers.
• Contribute to internal tooling, playbooks, best-practice documentation, and frameworks.

Strategic Field Feedback

• Synthesize customer learnings, emerging field signals, and competitive intelligence into structured, prioritized feedback that shapes the product roadmap and platform strategy.
• Advocate for roadmap priorities that improve agent usability, integration breadth, and operational scalability.
• Partner with Product to define and proof-of-concept feature requirements, acceptance criteria, and success outcomes for agentic solutions and other Agent Flow Suite products.

Trusted Advisor & Domain Expertise

• Advise enterprise technical and business leaders on data strategy, automation opportunities, and governance.
• Apply expertise in data semantics, entity resolution logic, workflow optimization, and decision-centric system design.
• Apply knowledge of MDM design patterns and the Reltio platform.
• Navigate security, compliance, access governance, and multi-cloud architecture constraints while enabling pragmatic, scalable solutions.

Requirements

• 6+ years building and shipping production technology in customer-facing roles such as solutions engineering, consulting, or applied engineering.
• Strong programming and system design skills in Python and/or TypeScript/Java, with experience building APIs, microservices, and integrations.
• Experience deploying and operationalizing LLM or agentic systems, including prompting, orchestration, evaluation, and guardrails.
• Experience with telemetry, observability tooling, logging, and production monitoring frameworks.
• Familiarity with responsible AI practices, agent guardrails, bias evaluation, and enterprise data governance, including GDPR and HIPAA.
• Strong understanding of cloud infrastructure, CI/CD, containerization, and distributed services.
• Deep understanding of data management, enterprise integrations, workflow orchestration, business rules, and real-time processing.
• Experience with SaaS platforms and CRM/ERP integrations such as Salesforce, Veeva, NetSuite, and SAP.
• Excellent communication and co-creation skills with technical and non-technical stakeholders.
• Ability to drive consensus, influence cross-functional teams, and deliver measurable outcomes under ambiguity and change.
• Comfort operating in fast-paced, high-change enterprise engagements with senior customer leadership.
• Ability to travel to customer sites periodically, estimated at 20–30%.

Nice to Have

• Experience in enterprise AI adoption, agent or AI workflow productization, or implementing generative AI solutions.
• Master’s degree in Computer Science, Engineering, or a related technical discipline.
• Experience with business development support, governance frameworks, or industry compliance such as HIPAA and GDPR.

Compensation

• Compensation is determined using market indicators, job family, background, skills, and experience.