Principal Consultant, Software Engineering

MojoTech•Providence, RI

2d•Hybrid

About The Position

MojoTech is an innovative technology consulting firm that integrates strategy, data, and software engineering to create results-driven, AI-enabled digital products and experiences. We partner with our clients to discover, define, design, and build tomorrow’s innovations, empowering organizations to unlock future market potential, maximize returns on innovation, and drive transformational change. We are looking for a Principal/Senior Principal [Software Engineer/Architect] to lead client engagements across architecture, delivery, and growth. This role combines deep technical expertise with client leadership and business development. You will work directly with client stakeholders to shape solutions, guide teams through execution, and help grow accounts through trusted relationships and strong outcomes. Success in this role requires strong technical skills, excellent communication, and the ability to collaborate effectively with distributed teams and U.S.-based clients. You should be comfortable participating in technical discussions, contributing ideas, leading teams, and helping clients make informed technology decisions as well as executing on technical requirements.

Requirements

Strong problem-solving and analytical skills
Deep architectural experience
Product focused engineering experience
Ability to work effectively in a remote, distributed environment
Strength in Python, Typescript and adjacent technologies for building AI/ML applications.
10+ years of experience leading and delivering software solutions.
Track record of client/stakeholder satisfaction.
Experience integrating data platforms, machine learning, or AI capabilities into applications
Familiarity with data pipelines, streaming, and data modeling
Experience working in consulting, agency, or client-service environments
Exposure to mentoring junior engineers or technical leadership responsibilities

Nice To Haves

Familiarity with other stacks is a bonus.
Contributions to open-source projects, technical blogs, or conference presentations are a plus.

Responsibilities

Design and deliver scalable, maintainable systems across application, data, and AI layers
Lead development of distributed, cloud-native applications integrating APIs, data platforms, and AI or ML components
Design systems that incorporate real-time data, event-driven patterns, and intelligent services
Implement LLM integrations, RAG patterns, and AI-enabled features in production systems
Ensure systems meet expectations for performance, reliability, and security
Guide teams toward practical use of modern patterns, including microservices, CI/CD, and DevOps
Make clear, pragmatic decisions on architecture and trade-offs
Expertise delivering solutions with Python and TypeScript. Familiarity with other stacks is a bonus.
Work directly with client stakeholders to understand problems, define solutions, and align on outcomes
Lead discovery efforts, technical assessments, and early-stage solution design
Facilitate working sessions and architecture discussions with both technical and business audiences
Translate business needs into clear, executable technical approaches
Build strong relationships that position MojoTech as a trusted partner
Partner with account and sales leads to shape and win new work
Contribute to proposals, estimates, and solution approaches
Help identify follow-on opportunities within existing engagements
Clearly articulate the value of proposed solutions to client stakeholders
Contribute to reusable approaches and offerings that improve how we sell and deliver
Lead delivery across one or more engagements, ensuring work stays aligned to goals, timelines, and budget
Set up lightweight governance, planning, and communication structures that keep teams moving
Coordinate across engineering, design, product, and data disciplines
Identify risks early and work with teams to address them
Maintain a strong focus on delivering working software and measurable outcomes
Mentor engineers and help grow technical leadership across teams
Set a high standard for code quality, system design, and engineering practices
Contribute to hiring and building a strong, senior team
Help evolve internal practices, especially around AI-enabled systems and modern architectures
Stay hands-on enough to maintain credibility and support the team when needed