# Staff Forward Deployed Engineer

**Company:** [Reltio](https://hotfix.jobs/companies/reltio)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $145k – $250k/yr
**Experience:** 7+ years
**Skills:** Python, TypeScript, Java, APIs, Microservices, Llm Systems, Agentic Workflows, Observability, CI/CD, Containerization, Distributed Systems, Salesforce, SAP, Veeva, NetSuite
**Posted:** 2026-08-16

> Build and deploy production agentic workflows for strategic enterprise customers, owning discovery through rollout while shaping reusable assets and product direction. The role requires 6+ years of customer-facing production engineering experience, strong programming and systems design skills, and expertise in cloud, integrations, observability, and responsible AI.

## Job Description

## 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.

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