Job Details

Technical Delivery Lead

Brooksource

Fortune 500 Oil & Gas Client

Houston, TX

Overview

We are seeking a Delivery Lead to drive end-to-end execution of a complex, in-flight AI-powered sales acceleration platform. This role sits at the center of a cross-functional initiative spanning AI engineering, data engineering (Databricks), cloud infrastructure (Azure), Salesforce integration, and UI development.

You will partner closely with AI Engineers, a Scrum Master, and distributed technical teams to orchestrate delivery across multiple workstreams and push the solution into secure, stable production.

This is a hands-on delivery leadership role requiring strong technical fluency, integration expertise, and the ability to drive progress across teams without direct authority.

Key Responsibilities

End-to-End Delivery Ownership

• Own the integrated delivery plan across AI, data, cloud, Salesforce, and UI workstreams
• Drive execution from in-flight build → production → steady state
• Act as the single point of accountability across internal teams and external vendors/SIs
• Proactively manage dependencies, remove blockers, and prevent fragmented ownership

Cross-Functional Coordination

• Partner with:
  • AI Engineers
  • Data Engineering (Databricks)
  • Cloud/Platform teams (Azure)
  • Salesforce/CRM stakeholders
  • UI/Frontend teams
• Work alongside a Scrum Master while maintaining ownership of delivery outcomes

Systems Integration Leadership

• Lead end-to-end integration strategy and execution across systems
• Ensure clean, scalable integration between:
  • AI models
  • Data platforms
  • Salesforce (system of record)
  • UI layer
• Define and enforce:
  • API patterns (REST/webhooks)
  • Data flow boundaries (read/write controls)
  • Auditability and data integrity standards

Technical Governance & Quality

• Validate architecture across AI, data, and cloud environments
• Ensure adherence to Azure/cloud best practices
• Prevent short-term fixes from becoming long-term technical debt
• Define and enforce quality thresholds, including:
  • AI output accuracy and reliability
  • Data readiness and quality
  • System performance and scalability

AI Delivery Oversight

• Monitor and validate AI system behavior over time (e.g., prompt changes, data evolution)
• Ensure safe and effective use of LLM patterns (RAG, agents, routing)
• Partner with engineering to mitigate risk in AI-driven outputs
• Block releases if AI performance introduces business or compliance risk

Enterprise Readiness & Go-Live

• Lead delivery through enterprise gates (security, legal, compliance)
• Ensure:
  • Proper access models and data classification
  • Audit and control mechanisms
• Provide final Go/No-Go recommendation for production release

Operationalization

• Define production support model and runbooks for post-launch operations
• Coordinate transition to IT/support teams
• Ensure the solution is stable, supportable, and scalable in production

Required Qualifications

• 10+ years delivering complex enterprise software into production (AI/data-intensive preferred)
• Strong background as a Technical Delivery Lead or Tech Lead
• Proven experience driving delivery across cloud-based, integrated systems
• Hands-on experience with:
  • Azure / cloud platforms
  • System integration (APIs, REST, webhooks)
  • CRM platforms (Salesforce preferred)
• Experience integrating systems with custom development components
• Proven ability to navigate security, legal, and compliance approvals
• Demonstrated ownership of Go/No-Go production decisions

Preferred Qualifications

• Background in AI/ML or data engineering (Databricks experience a plus)
• Familiarity with LLM architectures (RAG, multi-agent systems, prompt orchestration)
• Previous software development or cloud engineering background
• Experience in enterprise sales or process-heavy environments
• Experience working with distributed teams and external vendors/SIs

Leadership & Soft Skills

• Excellent communication skills with ability to engage technical teams and senior leadership
• Proactive, direct, and execution-oriented mindset
• Strong ability to drive alignment and decisions without direct authority
• Comfortable operating in fast-moving, ambiguous environments
• High ownership mentality with a focus on delivery outcomes over process