Senior Execution Engineer leading capital maintenance and operational projects across Enbridge’s Prairie Region pipeline network. Providing engineering leadership, contractor coordination, and safe project delivery.
About the role
- Forward-deployed engineer building production agentic AI workflows for Blue Orange Digital’s data and AI consulting clients. Translating business processes into integrated, evaluated, production-ready systems.
Responsibilities
- Embed with client teams to understand how work happens by shadowing operators and mapping processes across people, spreadsheets, and disconnected tools
- Break complex business processes into agentic workflows, defining automation boundaries, human-in-the-loop steps, tool use, and decision logic
- Build production-grade workflows with LangGraph and LangChain, including tool calling, memory, routing, retries, and failure recovery
- Integrate CRMs, ERPs, ticketing systems, data warehouses, internal APIs, and document stores
- Enable reusable platform capabilities including document retrieval, structured output, function calling, prompt versioning, logging, and observability
- Design enterprise evaluation and guardrails, including task-specific evaluations, regression checks, PII handling, and human review
- Run working sessions and demos, translating technical tradeoffs into decisions about cost, risk, and timeline
- Document and hand over workflows so client teams can operate and extend them
- Bring reusable patterns back to Blue Orange Digital for future engagements
Requirements
- 3 or more years of software engineering experience building systems that run in production
- Hands-on experience building with LLMs: prompting, function calling, structured output, retrieval, and at least one agent or multi-step workflow taken past the prototype stage
- Experience connecting real systems through REST APIs, webhooks, SDKs, and databases, including auth, pagination, rate limits, and flaky upstreams
- Proficiency in Python and comfort with async patterns, API design, and data-pipeline reliability
- Working knowledge of SQL and data systems
- Real client-facing or cross-functional experience with non-technical stakeholders
- Strong written and verbal communication
- Production experience with agent frameworks such as LangGraph, AutoGen, or CrewAI, or custom orchestration
- Experience with RAG systems, including chunking, embeddings, vector stores, and re-ranking
- Familiarity with LLM evaluation, task-specific metrics, LLM-as-judge, and regression test suites (preferred)
- Background in process mapping, solutions engineering, forward-deployed work, or technical consulting (preferred)
- Experience with workflow and integration platforms such as Temporal, Airflow, Zapier, n8n, or iPaaS tooling (preferred)
- Exposure to AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML (preferred)
- Resume and all application materials must be submitted in English
- Background checks may be required for certain positions/projects
Benefits
- Competitive compensation with performance bonuses
- Problems that matter, real client processes with real constraints, not greenfield sandboxes
- A front-row seat to how a dozen industries actually run, and the chance to automate the parts that slow them down
- Direct access to modern AI infrastructure: AWS, GCP, Azure, Databricks, Snowflake, and the open-source ecosystem
- Builder culture where engineers lead and ship, with no bureaucracy between you and the work
- Professional development budget and certification support
- A team that will push back on your design decisions and make them better
- Unlimited Paid Time Off (PTO)
- Paid parental/bereavement leave
- Fully remote, globally distributed team
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