Principal Consultant, Engineering
UDig
| Company | UDig |
| Category | Engineering |
| Location | Nashville |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 22 Oct 2024 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Lead. Innovate. Grow. Make An Impact.
As a Principal Engineering Consultant at UDig, you operate at the apex of technical delivery. You define how complex engagements are structured, how AI-native engineering practices are implemented across workstreams, and how UDig builds reusable capability that compounds over time. You’re the technical anchor on the firm’s most demanding client work — and a force multiplier for the consultants around you.
Why Top Consultants Choose UDig:
Career Growth — Own your path with UDig Elevate, offering a clear trajectory for career growth and leadership opportunities.
Consulting with Purpose — Contribute to real solutions that directly impact clients from your first day.
Flexibility & Balance — Hybrid work environment with opportunities for high-caliber in-person collaboration.
Investment in You — $1,500 annual training budget, mentorship, and hands-on learning.
Competitive Compensation — Strong salary, performance-based bonuses, and career progression.
Comprehensive Benefits — PTO, parental leave, 401(k) match, health, dental, vision, and more.
What You'll Do:
Own technical vision and architecture across large-scale, multi-workstream client engagements — setting direction, resolving ambiguity, and making the calls that others can execute against.
Design and govern AI-native delivery models for engagements: defining agent orchestration patterns, establishing quality governance (including Human-Above-the-Loop controls), and ensuring that AI-accelerated delivery doesn’t trade off against reliability.
Evaluate, introduce, and standardize emerging technologies and engineering practices across UDig’s engineering discipline — including both software and data domains.
Build reusable intellectual property: orchestration patterns, MCP connectors, governance frameworks, and delivery templates that accelerate every engagement that follows.
Lead cross-functional technical collaboration across software, data, and platform workstreams in complex enterprise environments.
Serve as a senior client advisor — guiding technology strategy, building trust with CTO- and VP-level stakeholders, and helping clients understand what’s possible and what it takes to get there.
Mentor and develop Senior Consultants and Consultants, including structured feedback, growth conversations, and hands-on technical coaching.
Contribute to pre-sales conversations by helping frame solutions, scope engagements, and communicate UDig’s technical differentiation.
What You'll Bring:
10–14 years of software and systems engineering experience, including sustained leadership of engineering teams and large-scale delivery programs.
A track record of navigating and delivering in complex, enterprise consulting environments — client relationship management, expectation setting, and solution ownership are second nature.
Deep architectural fluency across full-stack, cloud-native, and data engineering domains; you can design systems end to end and lead others to build them.
Advanced command of AI-native engineering: you’ve designed or operated agentic workflows in enterprise level environments, understand the four-layer stack (model strategy, integration, orchestration, governance), and can articulate tradeoffs clearly to both technical and non-technical audiences.
Demonstrated ability to build reusable, transferable delivery assets — not just solving problems on a single engagement, but creating patterns that make UDig better at the next one.
Strong pre-sales instincts: you participate in discovery, frame technical approaches, and produce credible estimates under uncertainty — using range-based thinking and explicit risk assumptions rather than false precision.
A failure-first design instinct — you plan for graceful degradation, de-risk through spikes an