10-14 years of experience in software and systems engineering with leadership in large-scale programs.
Proven ability to manage client relationships and expectations in a consulting environment.
Expertise in full-stack, cloud-native, and data engineering architecture.
Experience designing AI-native engineering practices and workflows in enterprise settings.
Proven track record of creating reusable delivery assets for scalable solutions.
Strong instincts for pre-sales activities and technical solution framing.
Excellent communication skills for diverse audiences.
Responsibilities
Own technical vision and architecture for large-scale engagements, setting direction and resolving ambiguities.
Design AI-native delivery models with a focus on quality governance and reliability.
Standardize emerging technologies and engineering practices across the firm.
Create reusable intellectual property to accelerate future engagements.
Lead technical collaboration across various workstreams in complex enterprise setups.
Act as a senior advisor to clients, guiding technology strategy and building trust with senior stakeholders.
Mentor and coach junior consultants, providing valuable feedback and support.
Contribute to pre-sales efforts by framing solutions and communicating technical differentiation.
Benefits
Clear career trajectory with UDig Elevate for growth and leadership opportunities.
Direct contribution to impactful client solutions from day one.
Flexible hybrid work environment promoting in-person collaboration.
Annual training budget of $1,500 for personal development and mentorship.
Comprehensive benefits including PTO, parental leave, 401(k) match, and health coverage.
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.
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The good-faith base salary range for this role is listed below, reflecting the amount UDig is willing to pay at the time of this posting. The specific sublevel and salary offered will be determined by the candidate's skills, relevant experience, qualifications, and internal equity. The range reflects base salary only. This role is also eligible for performance-based incentive compensation, which may include a cash bonus, along with a comprehensive set of health and financial benefits. UDig does not request or rely on salary history in determining compensation and will not retaliate against any applicant for requesting the salary range or for declining to provide compensation history.
