Principal AI/ML Architect

About Egen:

Egen is a fast-growing, entrepreneurial technology company with a data-first mindset. We bring together exceptional engineering talent and advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. 

We are committed to being a place where talented people choose to do their best work - applying deep engineering and technology expertise to envision how data, AI, and platforms can change the world for the better. We are dedicated to learning, thrive on solving difficult problems, and continually innovate to achieve fast, effective results. If that describes you, we want you on our team.

As a Principal AI/ML Architect, you will set the technical direction for Egen's most complex generative AI, agentic AI, and applied machine learning engagements while remaining personally hands-on in the work that matters most. We treat AI as a software engineering discipline. You will raise that bar by architecting systems that succeed in production and helping the engineers around you do the same.

You will own the hardest architectural problems in our portfolio: agentic platforms operating at scale, applied-ML solutions, advanced retrieval systems, and AI in regulated or high-stakes environments where being wrong is expensive. Document intelligence and RAG pipelines are part of your toolkit, not the ceiling. You will take systems from an ambiguous business problem to a robust, scalable service, solving for latency, reliability, cost, security, and governance.

You will also be the senior technical face of our engagements. You will partner directly with client leadership to translate business strategy into AI architecture, shape solutions during pre-sales, guide engineering teams, and earn the trust that turns a project into a long-term program.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field; equivalent practical experience will also be considered. 

• 15+ years of progressive experience across software engineering, machine learning, data, or AI, including substantial ownership of production systems at scale. 

• Demonstrated principal-level technical leadership, including architecture ownership, cross-team technical direction, and decision-making across complex engagements or product portfolios. 

• A proven record of deploying generative AI, agentic AI, and/or applied-ML products into production - beyond proofs of concept. 

• Deep hands-on expertise with Python, modern LLM and ML architectures, agent frameworks, Google Cloud / Vertex AI, production APIs, and scalable software systems. 

• Experience establishing evaluation, observability, security, privacy, governance, and responsible AI controls for enterprise AI solutions. 

• Strong data engineering and SQL knowledge, with the ability to design reliable data and retrieval foundations for AI products. 

• Senior client-facing experience, with the communication skills to explain technical choices, risks, and business value to executive stakeholders and engineering teams.

• Experience training, tuning, or adapting neural networks, embedding models, or foundation models. 

• Architecture experience in regulated or high-stakes domains such as healthcare, financial services, or the public sector. 

• Google Cloud Professional Machine Learning Engineer, Professional Cloud Architect, or comparable certification. 

• Experience building reusable AI accelerators, reference implementations, or platform capabilities across multiple clients or product teams. 

• Pre-sales experience including discovery workshops, solution shaping, estimation, proposal development, and technical presentations. 

• Familiarity or good to have understanding with Kubernetes, infrastructure as code, event-driven architectures, and modern data platforms.