AI/ML Architect - Python/Scala

Description :

- Drive system and architecture decisions for AI and ML platforms, ensuring scalability, performance, and operational excellence.

- Design and evolve context engineering strategies for LLM-based systems under strict context window and latency constraints.

- Architect agent-based systems, including agent roles, interaction models, coordination strategies, and failure handling.

- Build and operate production AI systems with ownership of reliability, latency, cost, and correctness.

- Define evaluation frameworks for AI and agent behavior beyond offline model metrics.

- Scale AI-assisted development and reusable AI workflows to improve engineering velocity and system quality.

- Review and approve ML designs, guiding tradeoffs across model quality, system complexity, and business impact.

- Mentor senior engineers and data scientists, raising standards in AI system design, ML engineering, and production readiness.

- Partner with product and engineering leaders to translate ambiguous business problems into well-scoped, high-impact AI/ML solutions.

- Contribute to multi-quarter technical strategy, aligning AI and ML investments with company objectives.

Requirements :

- Strong coding skills in Python, Scala, or Java, with a track record of production-quality

systems.

- Hands-on experience in building, evaluating, and operating LLM-powered systems in

production.

- Strong understanding of context engineering, including information prioritization, relevance,

and degradation under constraints.

- Experience designing AI workflows or agentic systems, including task decomposition,

orchestration, and failure handling.

- Deep hands-on expertise in ML system design, NLP, feature engineering, and operational ML.

- Experience deploying AI/ML systems on at least one major cloud platform.

- Hands-on experience with Big Data or streaming systems (e.g., Spark, Kafka, Airflow).

- Proven ability to lead through influence, mentor engineers, and drive cross-team initiatives.

- Strong business and product mindset, with the ability to map AI/ML solutions to measurable

outcomes.

Level Expectations :

- Acts as a go-to expert for AI system design including context engineering, agent architectures,

NLP, and ML system design.

- Raises the overall AI maturity of the organization through architecture, mentorship, and