Senior Engineering Manager - AI

Description

We are seeking a Senior Engineering Manager (Level 5) to lead a high-performing team of engineers working on the critical data, AI, agentic systems and platform systems that underpin Arcadia’s products. This role combines people leadership with strong technical oversight, ensuring we deliver scalable, reliable, and innovative solutions that expand renewable energy access and intelligence.

Eliminating carbon footprints, eliminating carbon copies.

• Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
• Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production.
• Foster a culture of high performance, ownership, and technical excellence.
• Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
• Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals.
• Contribute directly to the AI systems development as part of a small and nimble team
• Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams.
• Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform.
• Establish engineering best practices in testing, observability, reliability, and CI/CD.
• Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy).
• Represent AI across the company, articulating technical trade-offs and championing innovation.

Requirements

Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India

Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS).

• Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
• A proven engineering leader who has scaled teams, coached senior engineers, and fostered a collaborative culture.
• Able to mix classic scalable systems engineering with agentic workflows
• Technically strong enough to provide architectural direction, challenge design decisions, and dive deep when needed.
• Strong architectural design and system-thinking abilities—able to balance immediate product needs with long-term scalability.
• Excellent communication skills with ability to influence cross-functional stakeholders.
• Experienced in building systems at scale—spanning data engineering, AI/ML, and distributed infrastructure.
• Can be a highly effective individual contributor, diving deep into the code and systems being built
• 15+ years of professional experience in software engineering, with at least 4+ years in engineering leadership roles.
• Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms.
• Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams.

Benefits

• Comprehensive medical insurance (self + family members)
• Annual performance cycle + quarterly recognition awards
• Flexible leave policy
• Competitive compensation and employee stock options
• Hybrid/remote-first working model (India-based role, with global collaboration)

Training + Development

Interview process

Visa Sponsorship

Security clearance