AI Factory Team Lead

Banyan Software provides the best permanent home for successful enterprise software companies, their employees, and customers. We are on a mission to acquire, build and grow great enterprise software businesses all over the world that have dominant positions in niche vertical markets. In recent years, Banyan was named the #1 fastest-growing private software company in the US on the Inc. 5000 and amongst the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Founded in 2016 with a permanent capital base setup to preserve the legacy of founders, Banyan focuses on a buy and hold for life strategy for growing software companies that serve specialized vertical markets. The Role: We are seeking a visionary and highly experienced Principal Engineer & Technical Architect to lead the architecture and engineering efforts for our new AI Application Modernization Factory. This is a deeply technical, hands-on, player-coach role critical for establishing the standards, processes, and strategy for modernizing enterprise applications at scale, leveraging the latest advancements in cloud-native development and AI-assisted software engineering. The ideal candidate will possess expert-level cloud mastery, a strategic architectural mindset, and a proven ability to translate complex business requirements into highly scalable, secure, and resilient technical solutions. Key Responsibilities Architectural Leadership: Co-create the technical architecture, design patterns, and best practices for the AI Application Modernization Factory, ensuring alignment with enterprise architecture standards and business goals. Hands-on Software Engineering: Act as a hands-on Principal Engineer, making significant code contributions, performing complex code reviews, and serving as the highest technical escalation point for engineering challenges. AI-Assisted Development: Establish and champion processes for integrating AI-assisted software development tools (e.g., Cursor, Claude Code, GitHub Copilot) into the full product development lifecycle to significantly enhance developer productivity, code quality, and time-to-market. GenAI Platform Strategy: Define the strategy for embedding Generative AI capabilities, including RAG (and GraphRAG) systems and LLM orchestration, to build new intelligent features and automate business processes. Modernization Execution: Drive the technical strategy for modernizing legacy applications to a cloud-native, microservices, or serverless architecture across major cloud providers (AWS, Azure, GCP). Engineering Vision & Mentorship: Serve as the top technical authority, defining the engineering vision across multiple product areas. Lead, mentor, and coach senior and junior engineers, fostering a culture of technical excellence, continuous improvement, and knowledge sharing. Engineering Excellence & Ownership: Drive an ownership mindset by taking pride in work quality and seeing projects through to successful deployment and operation. Set a high bar for engineering standards, security, and operational excellence. Problem Solving: Apply strong analytical and structured problem-solving skills including technical problem definition, functional decomposition, and hypothesis-driven investigation to resolve complex architectural and operational challenges, with the ability to make confident technical decisions when problems or solutions are not well-defined (ambiguity). People & Performance Management: Direct and manage a small, highly skilled development team, including regular 1:1s, performance reviews, career development planning, and technical talent acquisition, helping to make the team as efficient and effective as possible. Security, Observability & Reliability: Implement secure-by-design principals along with robust cloud-native observability tooling to debug and monitor complex distributed systems, ensuring secure, high performance and high availability operations. Required Qualifications & Experience Education: Bachelor’s degree in Computer Science or equivalent technical area and/or experience. Experience: 8+ years of progressive experience in Software Engineering, with significant time spent in a Principal Engineer, Staff Engineer, or Architect role. Expert Cloud Mastery: Expert-level experience with Amazon Web Services (AWS) (e.g., EC2, Lambda, EKS, S3, RDS) and proven mastery of Infrastructure-as-Code (IaC) using Terraform for provisioning and managing large-scale cloud environments. Deep expertise in container (e.g., Docker / Kubernetes) and serverless (e.g., Lambda, Azure Functions) technologies for building highly scalable and resilient distributed architectures. Hands-on Technical Depth: Deep history of hands-on software engineering, making significant code contributions, and leading technical design and implementation. A player/coach who can provide thorough code reviews and upskill team members (both human and agentic). Enterprise Scale Solutions: Strong experience in building B2B and enterprise-scale applications and systems, successfully translating business capability and objectives into technical solutions. Database & Development Stack: Hands-on skills working with SQL and No-SQL databases. Strong application development skills, including experience in modern technology languages such as Typescript, Python, C#, Java, Go, or Ruby. Familiarity with advanced UI frameworks like React, NextJS and Vite. DevSecOps & Automation: Strong command of automation and modern DevSecOps practices, including deep experience with CI/CD platforms like GitHub Actions, GitLab CI, or similar tools. Engineering Principles: Proven experience in advanced engineering practices, including code refactoring, modern design patterns (adaptor, onion, n-tier), Domain-Driven Design (DDD), and application security. Pragmatic Programmer: Uses pragmatic, quality-driven development habits and Twelve-Factor App fundamentals, including clean code, automation, stateless services, and clear configuration management. Team Management: Proven experience in formal team leadership (3+ years preferred) with direct management responsibilities for software engineers, including performance, career development, and technical hiring. Agile Ways of Working: Demonstrated experience working in Agile methodologies (e.g., Scrum, Kanban) and a comfort level with ambiguity and rapid changes common in early-stage product development. Collaboration & Communication: Exceptional team collaboration and communication skills (both verbal and written), with a proven ability to work under competing priorities and manage expectations effectively with technical and business stakeholders. Preferred Skills (A Plus) SaaS Operating Experience: Experience building and operating a multi-tenant SaaS (Software as a Service) solution at scale. App Modernization: Prior experience leading a modernization or re-platforming effort for a large enterprise or B2B application. GenAI Development: Experience in multi-agent frameworks (e.g., crewAI, autogen) for sophisticated AI workflow orchestration. Experience integrating GenAI capabilities using frameworks like Langchain or LlamaIndex. Experience developing AI Agents along developing and connecting to MCP Servers and tools. Deep LLM/Vector DB Expertise: Familiarity with Context Engineering, agentic architectures, Hybrid Vector Databases (including knowledge graphs) and advanced proficiency in Prompt Engineering and Guardrail Design for enterprise AI safety. Job Location – Remote (USA & Canada) The expected base salary for this position is: [CAD 245000/ USD 275,000] excluding annual bonus (when applicable). Salary is based on a number of factors including market conditions, location and may vary depending on job-related skills and experience. Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance. Beware of Recruitment Scams We have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment. Protect yourself by following these steps: Verify that all communications from our recruiting team come from an @banyansoftware.com email address. Remember, employers will never request payment or banking information during the hiring process. If you receive a suspicious message, do not respond — instead, forward it to careers@banyansoftware.com and/or report it to the platform where you received it. Your safety and security are important to us. Thank you for staying vigilant.