Chief Engineer (Sweat Equity Only)

Posted 2025-05-22
Remote, USA Full-time Immediate Start

Chief Engineer | Location: [USA or India/Remote]

Commitment: Part-time to start, evolving into full-time status

Equity: Rightful sweat-equity stake for the right partner

About Athena:

Athena is pioneering Analytics-as-a-Service through a true "Services-as-Software" model: an enterprise-grade AI engine that embeds seamlessly into our clients’ IT environments, delivering real-time insights and decision intelligence without heavy consulting or custom builds. We’re creating a new category and need a visionary technologist to lead our architectural foundation.

About Us:

We’re a fast-growing tech startup revolutionizing the analytics consulting space with our outcome-based analytics-as-a-service platform in the fast emerging "Services as Software" category. We aim to deliver an enterprise-grade, secure, and scalable system to our clients while fostering an environment of innovation and agility.

Role Overview:

As Chief Engineer, you will be the technical cornerstone of Athena. You’ve shipped data and AI systems at scale—on-prem and in the cloud—and you love turning cutting-edge research (model context protocols, agentic AI) into hardened production services. You’ll architect, build, and own every layer of the platform, from data ingestion and security through multi-agent orchestration to performance-critical decision APIs.

    Key Responsibilities:
  • Platform Architecture & Roadmap
  • Define and evolve Athena’s microservices architecture for scalability, resilience, and low latency.
  • Lead adoption of Model Context Protocols to ensure every AI workflow understands its data and business context.
  • Evaluate and integrate emerging AI/ML frameworks and agentic AI paradigms.
  • Data & Integration Infrastructure
  • Design robust connectors for any data source—relational, NoSQL, streaming (Kafka/Kinesis), APIs, and third-party feeds.
  • Architect hybrid batch/streaming ETL pipelines that support real-time analytics and model training.
  • Ensure schema flexibility and versioning to support diverse client environments.
  • AI Orchestration & Guided Agents
  • Build the runtime for agentic AI: multi-agent coordination, reinforcement-learning loops, and safe human-in-the-loop handoffs.
  • Implement policy engines for contextual decisioning, auditability, and regulatory compliance (particularly in financial services).
  • Security, Compliance & Reliability
  • Embed enterprise-grade security: OAuth2/OpenID SSO, fine-grained RBAC, encryption at rest/in transit, and immutable audit logs.
  • Define and enforce SLAs/SLOs; implement chaos testing, canary deployments, and full-stack observability (logs, metrics, tracing).
  • Lead SOC2/ISO-27001 alignment and regular security reviews.
  • Team Leadership & Culture
  • Mentor and scale a high-caliber engineering team—instill a “you build it, you run it” mindset, DevOps best practices, and strong automation discipline.
  • Collaborate closely with Product, Data Science, and Customer Success to translate business needs into production-ready features.
  • Foster a culture of continuous improvement, innovation, and shared ownership.

Qualifications & Experience

10+ years building and operating large-scale data and AI systems in production, including in regulated industries (financial services preferred).

Deep expertise in distributed systems (microservices, Kubernetes), streaming platforms (Kafka, Kinesis), and modern data stores.

Hands-on with MLOps, Model Context Protocols, or similar AI governance frameworks.

Proficient in Go, Python, or Java, with strong software craftsmanship and infrastructure-as-code (Terraform, Ansible).

Experience architecting and shipping agentic AI or guided-agent orchestration platforms.

Strong track record of embedding security and compliance at every layer.

Why Athena?

Category Creator: Lead the technology behind a platform redefining a $100B consulting industry.

High Impact: Your work will directly empower CXOs to move from months-long analytics projects to real-time, AI-driven decisioning.

Innovation Playground: Opportunity to experiment with the latest in AI, data engineering, and software architecture.

Ownership & Autonomy: Shape every aspect of the platform and build the team that brings it to life.

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