Owns the full lifecycle of enterprise integrations for an AI platform, including architecture, cloud deployment, AI/LLM integration, production reliability, observability, and customer go-live. Serves as the technical lead for enterprise deployments, troubleshoots distributed systems, develops reusable connectors and frameworks, mentors engineers, and informs product strategy. The role requires strong backend, cloud, API, system design, and customer-facing integration expertise, with approximately 10–20% travel.
About the Role
As a Senior Forward Deployed Engineer at Blue Machines, you’ll own the full lifecycle of integrations between our AI platform and enterprise customer systems, from solution design through production rollout and ongoing reliability. You’ll be the technical lead on customer deployments, working across APIs, cloud infrastructure, and AI frameworks (like LangChain and LLM APIs) to ship intelligent, scalable, production-grade solutions. You’ll also help shape our integration playbook and mentor other engineers.
What You’ll Do
- Architect, build, and own complex integrations using REST APIs, WebSockets, and webhooks, with a focus on scalability, low latency, and fault tolerance
- Design and deploy production solutions on cloud platforms (GCP / AWS / Azure), including networking, security, and cost decisions
- Lead integration of AI/LLM capabilities (LangChain, OpenAI, Anthropic, or similar SDKs) into customer workflows, including prompt design, orchestration, and evaluation
- Act as the main technical contact for enterprise customers: run discovery, translate business requirements into technical solutions, and drive deployments to go-live
- Debug and resolve critical production issues across distributed systems, and lead root-cause analysis
- Set up observability, monitoring, and alerting for integration workflows, and drive automation and documentation standards
- Build reusable connectors, frameworks, and best practices that speed up future deployments
- Mentor engineers and work with Product and Engineering to feed customer insights into the platform roadmap
- Travel to customer sites as needed (roughly 10–20%)
What You’ll Bring
- 5–8 years of software engineering experience, including at least 2–3 years in customer-facing, solutions, or integration engineering roles
- Strong expertise in Python or Java for backend services and integrations
- Required: deep hands-on experience deploying and operating production workloads on a major cloud platform (GCP preferred)
- A proven track record of designing and shipping large-scale integrations with enterprise systems (CRMs, contact center platforms, ERPs, internal APIs)
- Strong command of API design and authentication/authorization protocols (OAuth2, JWT, SAML/SSO, mTLS)
- Practical experience building with AI/LLM ecosystems (prompt engineering, RAG, LangChain-style orchestration, or agent frameworks)
- Strong system design skills, with experience making trade-offs around performance, reliability, and security
- Excellent problem-solving and communication skills, including comfort working directly with senior customer stakeholders
Bonus Points: Healthcare Experience
- Experience building or deploying software in healthcare, health tech, or digital health
- Familiarity with healthcare interoperability standards (HL7 v2, FHIR) and EHR integrations (Epic, Oracle Health/Cerner, athenahealth)
- Working knowledge of HIPAA, handling of PHI, and compliance frameworks such as SOC 2 or HITRUST
- Exposure to provider, payer, or patient-engagement workflows (scheduling, prior authorization, care coordination, patient outreach)
Also Nice to Have
- Experience with telephony and real-time communication (SIP, WebRTC, Twilio, Genesys, Five9, Amazon Connect, Avaya) and voice AI pipelines (ASR/TTS)
- Hands-on experience with Postman, Wireshark, and observability stacks (Datadog, Grafana, Prometheus, OpenTelemetry)
- Strong grasp of CI/CD, containerization (Docker), and orchestration (Kubernetes)
- Prior experience as a Forward Deployed Engineer, Solutions Architect, or Technical Consultant at a high-growth startup
Equal Opportunity
Blue Machines is an equal opportunity employer. We welcome applicants of every race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. Qualified applicants with arrest and conviction records will be considered in line with the San Francisco Fair Chance Ordinance.
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