Senior Engineering Manager - AI at Arcadia

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Clean Energy, Renewable Energy, Climate TechIndustries

Requirements

Proven engineering leader who has scaled teams, coached senior engineers, and fostered a collaborative culture
Technically strong enough to provide architectural direction, challenge design decisions, and dive deep when needed
Experienced in building systems at scale—spanning data engineering, AI/ML, and distributed infrastructure
Passionate about leveraging technology to fight the climate crisis
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
Able to mix classic scalable systems engineering with agentic workflows
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
Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS)
Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams
Strong architectural design and system-thinking abilities—able to balance immediate product needs with long-term scalability
Excellent communication skills with ability to influence

Responsibilities

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

Skills

Data Engineering

AI/ML

Distributed Infrastructure

Agentic Pipelines

Anthropic

OpenAI

Google AI

Scalable Systems

Engineering Leadership

Arcadia

Data-driven healthcare solutions and analytics

About Arcadia

Arcadia focuses on improving healthcare outcomes through data-driven solutions in the healthcare sector, particularly in population health management. The company analyzes and manages the health outcomes of groups of people, serving clients such as healthcare providers, insurance companies, and government agencies. Its main product is a data platform that uses big data technology to process and store large volumes of healthcare data, allowing organizations to access and analyze this information effectively. This leads to better decision-making and enhanced patient care. Unlike many competitors, Arcadia offers a comprehensive suite of tools and consulting services that help clients optimize their use of the platform, particularly in areas like STARS HEDIS and risk adjustment accuracy. The goal of Arcadia is to improve efficiency in healthcare delivery, reduce disparities, and achieve better health outcomes for populations.

Boston, MassachusettsHeadquarters

2002Year Founded

$28.7MTotal Funding

DEBTCompany Stage

Consulting, HealthcareIndustries

501-1,000Employees

Benefits

Flexible Work Hours

Unlimited Paid Time Off

Risks

Integration challenges from CareJourney acquisition may disrupt operations.

Departure of former CTO Jonathan Cook could impact Arcadia's innovation.

Intensifying competition in healthcare data analytics threatens Arcadia's market share.

Differentiation

Arcadia integrates CareJourney's market intelligence for comprehensive healthcare insights.

Arcadia's platform offers real-time data analysis for improved healthcare decision-making.

Arcadia's generative AI assistant enhances care team efficiency and reduces burnout.

Upsides

Arcadia's acquisition of CareJourney expands its customer portfolio to nearly 200.

The healthcare data market is projected to triple by 2030, benefiting Arcadia.

Arcadia's AI assistant boosts productivity by reducing data interpretation time.

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