Artificial Intelligence Architect At our cutting-edge software company, we harness the power of award-winning AI/ML solutions to drive innovation for Fortune 500 brands and trailblazing startups across diverse industries. Our collaborative culture has earned us recognition as a Best Place to Work, where talented professionals can grow and make meaningful contributions. Key Responsibilities: - Design and develop comprehensive AI system blueprints, from data ingestion to inference services; - Lead the creation of end-to-end LLM/ML pipelines for structured and unstructured energy data; - Define strategies for retrieval-augmented generation, vector databases, and knowledge graphs to power contract intelligence; - Guide teams in building models for contract auditing, price forecasting, and portfolio optimization; - Oversee the deployment of machine learning and AI pipelines into production, covering service hosting, containerization, and cloud infrastructure; - Establish coding standards, testing frameworks, and review processes for AI/ML workflows; - Cultivate engineers in applied AI, review design documents, and present architecture reviews to stakeholders, including C-suite executives. Requirements: - 8+ years of professional software development experience, with 5+ years in production ML/AI systems; - Proven track record as an AI Architect or technical lead, capable of envisioning complex systems and driving them to production; - Demonstrated experience in AI research & development; - Experience in publishing, prototyping novel approaches, or leading R&D; projects; - Hands-on experience with LLMs (locally hosted and API-based), plus expertise in RAG/vector search; - Strong understanding of designing microservices and REST APIs for AI inference at scale; - Excellent verbal and written communication skills, comfortable presenting to executive audiences; - Upper-Intermediate English language proficiency. Nice to Have: - Early-stage startup experience, especially shaping nascent AI products; - Domain experience in energy, sustainability, or industrial infrastructure; - Thought-leadership in AI/ML: open-source contributions, publications, or conference talks; - Commitment to ethical, socially responsible AI practices. Benefits: - Professional growth opportunities through mentorship, TechTalks, and personalized growth roadmaps; - Competitive compensation packages that match your skills and contributions; - Exciting projects with modern solutions development and top-tier clients; - A flexible work environment that balances personal and professional needs. We are committed to fostering a dynamic and inclusive work environment. Your application is the first step towards unlocking new opportunities. Please check your email and complete your registration on our Applicant Site to proceed.