The Challenge

Your Mission

• Define and deliverarchitecture for AI-native agentic systems, enabling scalable and enterprise-grade multi-agent solutions.
• Create and evaluatefailure mode scenarios for agentic workflowsand incorporate architectural safeguards to ensure resilience and reliability.
• Provide deep expertise inLLM architectures, prompt engineering, RAG approaches, model selection,model training, LoRA knowledge,cost optimization, performance, security, and quality considerations.
• Drivetechnology transformation within the domain, enabling teams to adopt modern AI-native architectures and engineering practices.
• Stay current withrapid advancements in the agentic AI ecosystem, continuously evaluating emerging frameworks, tools, and architectural patterns.
• Championtechnical exploration and spikesto test new ideas, validate feasibility, and guide long-term architectural decisions.
• Collaborate closely with theAI Platform teamto influence platform capabilities and ensure alignment with enterprise architecture.
• Definemetrics, evaluation frameworks, and observability standardsfor agentic systems.
• Providearchitectural guidance and oversight to engineering squads, reviewing designs and co-creating solutions for complex initiatives.
• Act as atechnology leader for the domain, influencing the Architecture Guild and driving best practices across engineering teams.
• Ensure teams adoptarchitecture governance standards and best practices.
• Championtechnical controls and disciplined engineering practicesto proactively manage architectural complexity and technical debt.
• Design and buildhigh-performance distributed systemscapable of supporting enterprise workloads.
• Recognize industry trends and proactivelyinfluence the product and engineering roadmap.
• Mentor engineers and architects, strengthening the organization’stechnical leadership and architectural maturity.

• Design large-scaledistributed systems and AI-powered architecturesthat support multiple products and integrations.
• Create and maintainarchitecture models, system diagrams, and technical design documentationcovering current and future state architecture.
• Conceive and evolveproduct and service architecturesensuring scalability, reliability, and operational efficiency.
• Ensure systems are designed forhigh availability, performance, and ease of operations.

• Contribute tocompany-level engineering strategyand evaluate the business impact of emerging technologies.
• Lead engineering initiatives toimprove platform capabilities and engineering productivity.
• Participate instrategic programs that impact company-wide technical direction.
• Influence cross-organizational architecture decisions and collaborate with Director and VP level stakeholders.

• Recommend technologies and frameworks thatincrease engineering productivity and system reliability.
• Oversee technical aspects of major initiatives and ensure high engineering standards.
• Mentor engineers and technical leaders to strengthensystem design capabilities and engineering best practices.

You Are

• Ahighly skilled technical leaderwith strong architectural vision.
• An analytical thinker with strongproblem-solving and system design skills.
• A strong communicator capable ofinfluencing leadership and cross-functional teams.
• Passionate about mentoring engineers and improvingtechnical excellence across the organization.

Your Experience Includes

• Bachelor’s or Master’s degreein Computer Science, Engineering, or a related technical field.
• 16+ years of software engineering experiencewith deep expertise in distributed systems.
• Extensive experience withJava-based development using REST APIs, Spring Boot, and microservices architectures.
• Strong experience designingdistributed, asynchronous, and event-driven architectures.
• Expertise buildinglow-latency, high-throughput data pipelinesand large-scale data platforms.
• Experience withdata streaming and event processing technologiessuch as Kafka, Kinesis, Spark, or Flink.
• Strong knowledge ofdata structures, algorithms, distributed algorithms, and system programming.
• Experience withfault-tolerant messaging systemssuch as Kafka, RabbitMQ, AMQ, or ZeroMQ.
• Experience working withdistributed data storesincluding MongoDB, Cassandra, CockroachDB, or CouchDB.
• Experience integrating applications withsearch platforms such as Elasticsearch or Solr.
• Proven experience mentoring engineers andbuilding strong engineering practices.
• Strong ability to create and maintainarchitecture documentation and system design artifacts.
• Excellentleadership, verbal, and written communication skills.

Extra Impressive

• Master’s degree in Computer Science, Engineering, or related field.
• Experience runninglarge-scale web services and distributed platforms.
• Deep understanding ofsystem performance tradeoffs, load balancing, and high-availability architectures.
• Experience withcloud-native and serverless architectures.
• Experience designinggraph-based data models and graph architectures.
• Experience buildingAI-native platforms or LLM-powered systems.