Ability to create reusable delivery assets for ongoing improvement
Excellent communication and influence skills
Bachelor's degree in a relevant field; advanced degree is a plus
Responsibilities
Own technical vision and architecture for large-scale client engagements
Design and govern AI-native delivery models for projects
Evaluate and standardize emerging technologies across engineering disciplines
Build reusable intellectual property for accelerated future engagements
Lead cross-functional collaboration across software, data, and platform workstreams
Serve as a senior client advisor for technology strategy
Mentor and develop less experienced consultants
Contribute to pre-sales conversations and framing technical solutions
Benefits
Clear career growth trajectory with UDig Elevate
Meaningful work impacting clients from day one
Flexible hybrid work environment for better work-life balance
Annual training budget of $1,500 with mentorship opportunities
Strong performance-based bonuses and career progression
Comprehensive benefits including PTO, parental leave, and health options
Full Job Description
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 and proofs, and build systems that can evolve without full rewrites.
Exceptional communication and influence skills - you shape decisions without relying on authority, and you make complex ideas legible to any audience.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degree or equivalent experience welcome.
