AI Orchestration Engineer

Full Time
  • September 23, 2026
  • Employment Info

    JOB  SUMMARY

    You Will Build

    • Agentic orchestration framework supporting proactive, verticalized GTM personas (e.g., Public Sector, FSI, Healthcare)
    • Signal collection pipelines from external and internal sources (news, regulations, competitor activity, Salesforce, product/roadmap systems, Teams, analytics)
    • Reasoning and decision components for opportunity detection, account prioritization, and next-best actions with explainability, source attribution, and confidence
    • Content generation services for tailored messaging, executive briefs, sales presentations, and demo recommendations
    • Production-grade integrations with Salesforce, Microsoft Teams, internal knowledge bases, and external intelligence feeds
    • Governed AI foundations: permission-aware data access, audit trails, human approval workflows, model/prompt governance, and safe action boundaries

    You Will Deliver:

    Engineering & Architecture

    • Design modular, reusable agentic components and orchestration patterns that scale across GTM and future operational domains
    • Implement robust data ingestion, normalization, correlation, and opportunity scoring pipelines
    • Build vertical specializations via configurable context, taxonomies, and policy-aware prompts
    • Deliver observability, telemetry, and reliability tooling for always-on, proactive agents
    • Embed explainability and traceability into recommendations, including evidence linking and rationale

    Integration & Platform

    • Own end-to-end integrations with Salesforce, Microsoft Teams, product delivery and roadmap systems, analytics platforms, and external signal sources
    • Establish extensible connector patterns, error handling, and backoff/queueing strategies for scale
    • Partner with Security and Data teams to enforce governance-by-design

    Quality & Best Practices

    • Champion maintainable code: clear module boundaries, testable units, typed interfaces, and robust CI/CD
    • Define coding standards, review guidelines, and documentation practices with your manager
    • Instrument performance budgets and SLAs for agent latency, throughput, and uptime

    Collaboration & Enablement

    • Work closely with the GTM Team to translate market and sales requirements into agent capabilities tied to measurable outcomes
    • Run internal workshops, peer mentoring, and 1:1 training to upskill engineers and domain experts into AI Orchestration contributors
    • Create showcases and reference implementations that accelerate adoption across RecordPoint

    Required Qualifications

    • 5+ years of backend or platform engineering with a strong track record of building production systems that are maintainable, well-tested, and observable
    • Hands-on experience with AI/LLM-powered applications or autonomous/agentic workflows (tools, planners, memory, retrieval, or function calling)
    • Proficiency in a modern language for services/orchestration (e.g., Python, TypeScript/Node.js, or Go) and familiarity with cloud-native patterns (containers, queues, event streams)
    • Experience integrating enterprise systems (e.g., Salesforce, Microsoft Graph/Teams, data warehouses, analytics) with secure auth and permission models
    • Data engineering fundamentals: schema design, normalization, enrichment, scoring models, and pipeline reliability
    • Strong focus on code quality: automated testing, CI/CD, code reviews, documentation, and architectural decision records
    • Security-first mindset: least privilege, PII handling, auditability, and compliance-aware design

     

     

     

    Are you interested in this position?

    Apply by clicking on the “Apply Now” button below!

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