Role Description We are looking for a Principal AI Engineer to guide a distributed team of developers in building modern, scalable, and AI-integrated software solutions. As a technical leader, you'll be responsible for architectural oversight, system design, and AI strategy. You will play a crucial role in mentoring our global distributed developers, helping them decompose complex features into clear, modular tasks and leveraging AI tools to improve the speed, quality, and innovation of our delivery. This is a highly impactful role, ideal for someone who thrives at the intersection of software engineering, AI-assisted development, and technical leadership. Key Responsibilities - Technical Leadership & Architecture: - Provide technical leadership for the team, guiding the design, development, and deployment of software solutions that leverage AI to solve complex business problems. - Responsible for designing scalable, modular systems and communicating architectural decisions across services and domains. - Ensure all development aligns with modern architectural principles like domain-driven design and microservices. - Agentic AI & Prompt Engineering: - Be a subject matter expert in Agentic AI integration, architecting and building robust MCPs/APIs and AI Agents. - Develop and refine prompt strategies to guide AI agents in writing code, documentation, and tests. - Leverage LLM tools to automate repetitive tasks and improve overall development efficiency. - System Design & Task Decomposition: - Translate high-level product goals into actionable engineering tasks optimized for both human and AI execution. - Provide in-depth code reviews (for both human- and AI-generated code), ensuring performance, security, and correctness across our entire codebase. - Mentorship & Coaching: - Actively mentor our globally distributed developers, providing technical guidance and fostering a learning culture focused on AI tool adoption, clean code practices, and modern software design. - DevOps & CI/CD: - Collaborate on optimizing our build and deployment pipelines by integrating AI-enhanced review and testing steps to streamline our delivery process. Qualifications - 10+ years of software engineering experience, with a focus on architectural leadership. - 2+ years of experience working with AI/ML models in a production environment. - A strong background in backend or full-stack technologies (Python). - Demonstrated experience leveraging AI-assisted development tools like Claude Code, Devin AI, GH Copilot or various GPT APIs. - Strong system design (focused on RAG systems) and task decomposition skills. - Proven experience leading distributed engineering teams. - Excellent written and verbal communication skills in English. - Exposure to AI agent frameworks (e.g., LangChain, CrewAI, AutoGPT, Agent Core). - Experience with domain-driven design (DDD) or microservices architecture. - Experience with vector/graph databases, embeddings, or other LLM infrastructure. Preferred Qualifications - A portfolio or examples of previous work demonstrating a passion for AI-driven software development. - Prior experience in a fast-paced SaaS or startup environment. - Knowledge of the HR, Legal, or Risk industries. Benefits - Health, Dental & Vision Insurance * - 401 (k) + Employer Match * - Unlimited PTO + 11 Paid Holidays + 4 Annual Paid Global Wellness Days Off - STD, LTD & Group Life Insurance - Paid Parental Leave - Pet Insurance - FSA & HSA Options - Employee Assistance Program Perks - Remote Work - Career Advancement & Professional Development Opportunities - Employee Recognition - LinkedIn Learning Platform

• Partner with the Commercial team to develop winning strategies and accelerate enterprise growth • Conduct market, prospect, and stakeholder research to inform deal strategy and uncover opportunities • Design tailored solution strategies that align Twin's capabilities with prospect priorities • Translate complex clinical, product, and operational concepts into compelling executive-level narratives, presentations, and business cases • Leverage AI, automation, and analytics to improve commercial effectiveness • Collaborate across Product, Clinical, Operations, and Marketing teams to shape market-facing strategy and messaging • Participate in cross-functional planning for pilots, strategic initiatives, and enterprise implementations • Drive operational excellence by improving commercial processes, CRM adoption, pipeline visibility, and reporting • Maintain a high bar for quality, consistency, and rigor across all deliverables

• Own the technical strategy on Avaya's most complex, multi-million dollar opportunities. • Build the infrastructure and assets that enable every other SC to execute effectively. • Serve as the trusted advisor to C-suite executives, contact center directors, and enterprise IT leaders, translating broad operational pain points into actionable digital transformation strategies. • Lead the technical narrative for enterprise RFPs/RFIs, positioning Avaya Infinity's differentiated value against market competitors. • Own complex Proof of Concepts (POCs) end-to-end, design high-performance premise-to-cloud integrations, and drive the technical Mutual Success Plan (MSP) with the AE.

• Own customer implementation projects end-to-end, serving as the primary point of contact throughout onboarding, deployment, and ongoing customer success. • Configure, validate, and optimize the Intelligent Grid Platform (IGP) using customer utility data and network models to support real-world grid planning and DER use cases. • Serve as a trusted technical and industry advisor, providing guidance on grid planning, utility operations, interconnection workflows, and best practices. • Lead customer workshops and stakeholder discussions to understand business challenges, define requirements, and drive successful project outcomes. • Enable rapid customer adoption and value realization by helping utilities effectively integrate IGP into their planning and operational processes. • Act as the voice of the customer internally, translating customer needs, industry trends, and market insights into actionable product requirements and roadmap recommendations. • Collaborate closely with technical and commercial teams to deliver high-quality solutions and maximize customer value. • Mentor and support junior team members through coaching, knowledge sharing, and implementation best-practice development. • Support go-to-market initiatives through product demonstrations, technical presentations, thought leadership content, RFP responses, partner engagements, and industry event participation. • Represent envelio at conferences, webinars, workshops, and other industry forums to strengthen our market presence and customer relationships.