Technical Delivery Lead

SmartRecruiters, Inc.; Northern (KY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

Employer-paid Life Insurance

Health Savings Account

Flexible Spending Accounts

Job summary

Endava is seeking a deeply technical Technical Delivery Lead to drive AI, Agentic AI, and infrastructure automation initiatives globally. You will lead architecture, software engineering, and delivery, while hands-on coding and design decisions shape the stack.

The role requires strong expertise in Python, MCP servers, LangChain/CrewAI, and cloud platforms (AWS/GCP). You will coordinate cross-functional teams across AI/ML, cloud, SRE, security, and data pipelines.

Qualifications

• 8+ years of experience leading complex technical projects in a global enterprise IT environment.
• 2+ years leading AI/AI-driven infrastructure deployments.
• Strong hands-on knowledge of Python and asynchronous programming.
• Hands-on experience developing or integrating MCP servers and tool calling architectures.
• Deep understanding of LLMs, Agentic AI, multi-agent reasoning, tool calling, RAG, and AI orchestration frameworks such as LangChain or CrewAI.
• Experience with Dynatrace/Davis AI, observability, AIOps, or self-healing infrastructure automation.
• Hands-on experience with AWS and/or GCP.
• Experience with CI/CD, IaC, automated testing, and SRE practices.
• Experience with data platforms, Snowflake, ETL, and data validation.

Responsibilities

• Lead end-to-end delivery of enterprise AI, Agentic AI, AIOps, observability, and infrastructure automation initiatives.
• Drive development and deployment of Agentic AI platforms, multi-agent solutions, MCP-based architectures, and automated self-healing infrastructure.
• Provide hands-on technical leadership, including Python development and code reviews.
• Orchestrate cross-functional teams across AI/ML, cloud, infrastructure, SRE, security, and application engineering.
• Translate complex IT Infrastructure & Operations environments into schemas for AI agents.
• Develop automation for incident remediation, vulnerability management, observability, and runbook execution.
• Work with enterprise observability platforms such as Dynatrace/Davis AI, Splunk, and CloudWatch.
• Establish guardrails for AI safety, data security, compliance, and access controls.
• Drive CI/CD, IaC, automated testing, and cloud deployment practices.
• Provide oversight of data pipelines including ETL and Snowflake validation.
• Set engineering standards for AI agents, MCP servers, and automation frameworks.
• Track milestones, risks, outcomes, and financial benefits for executive visibility.

Skills

Python

MCP servers

LangChain

CrewAI

AWS

GCP

CI/CD

SRE

Snowflake

ETL

Data validation

Observability

AI safety

Code reviews

Tools

MCP servers

LangChain

CrewAI

Dynatrace

Splunk

CloudWatch

Snowflake

AWS

GCP

Job description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world‑class engineering, industry expertise and a people‑centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real‑world impact - be part of a global shift by doing work that matters.

Job Description

We are seeking a deeply technical, highly autonomous Technical Delivery Lead to drive the execution of strategic Artificial Intelligence, Agentic AI, AIOps, and Infrastructure Automation initiatives across a global enterprise environment.

This role is ideal for a technical leader who can operate at the intersection of architecture, software engineering, AI engineering, SRE, cloud infrastructure, and technical delivery. The successful candidate will not simply coordinate projects—they will be hands‑on with technology, code, architecture, technical decisions, and engineering execution.

Key Responsibilities

• Lead end‑to‑end delivery of enterprise AI, Agentic AI, AIOps, observability, and infrastructure automation initiatives.
• Drive development and deployment of Agentic AI platforms, multi‑agent solutions, MCP‑based architectures, and automated self‑healing infrastructure.
• Provide hands‑on technical leadership, including Python development, asynchronous scripting, MCP server development, code reviews, and technical design.
• Orchestrate cross‑functional engineering teams across AI/ML, cloud, infrastructure, SRE, security, and application engineering.
• Translate complex enterprise IT Infrastructure & Operations (I&O) environments into contextual schemas and tools that can be consumed effectively by AI agents.
• Develop and implement automation for incident remediation, vulnerability management, observability, runbook execution, and infrastructure self‑healing.
• Work with enterprise observability platforms such as Dynatrace/Davis AI, Splunk, and CloudWatch.
• Establish technical guardrails covering AI safety, data security, compliance, access controls, and responsible AI execution.
• Drive CI/CD, Infrastructure as Code (IaC), automated testing, and cloud deployment practices.
• Provide technical oversight of data pipelines, including ETL processes and Snowflake validation.
• Conduct code reviews and establish engineering standards for AI agents, MCP servers, automation frameworks, and supporting services.
• Track delivery milestones, technical risks, operational outcomes, and financial benefits while providing strategic visibility to executive leadership.

Qualifications

• 8+ years of experience leading complex technical projects, product delivery, software engineering initiatives, or cloud infrastructure programs within a global enterprise IT environment.
• 2+ years of experience leading AI, Agentic AI, AIOps, or AI‑driven infrastructure platform deployments.
• Strong hands‑on knowledge of Python, including asynchronous programming and automation scripting.
• Hands‑on experience developing or integrating MCP (Model Context Protocol) servers and tool‑calling architectures.
• Strong understanding of LLMs, Agentic AI, multi‑agent reasoning, tool calling, RAG, and AI orchestration frameworks such as LangChain or CrewAI.
• Experience with Dynatrace/Davis AI, enterprise observability, AIOps, or self‑healing infrastructure automation.
• Hands‑on experience with cloud platforms such as AWS and/or GCP.
• Experience with CI/CD, Infrastructure as Code, automated testing, and SRE practices.
• Experience working with enterprise monitoring and observability platforms such as Dynatrace, Splunk, or CloudWatch.
• Strong understanding of infrastructure automation, SRE runbooks, incident management, and automated remediation.
• Experience with data platforms and pipelines, including Snowflake, ETL, and data validation.
• Ability to provide hands‑on technical direction and code‑review leadership while managing complex enterprise delivery.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Additional Employee Requirements

• Participation in both internal meetings and external meetings via video calls, as necessary.
• Ability to go into corporate or client offices to work onsite, as necessary.
• Prolonged periods of remaining stationary at a desk and working on a computer, as necessary.
• Ability to bend, kneel, crouch, and reach overhead, as necessary.
• Hand‑eye coordination necessary to operate computers and various pieces of office equipment, as necessary.
• Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary.
• For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary.
• For positions that require business travel and/or event attendance, a valid driver’s license and acceptable driving record are required, as driving is an essential job function.

If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship.

USA Benefits (Full time roles only, does not apply to contractor positions)

• Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
• Flexible Spending Accounts (Medical, Transit, and Dependent Care)
• Employer Paid Life Insurance and AD&D Coverages
• Health Savings account paired with our low‑cost High Deductible Medical Plan
• 401(k) Safe Harbor Retirement plan with employer match with immediately vest

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.