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 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.

Overview

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: Bachelors 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.

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.

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