[Remote] reputed company AI Engineering Architect

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company AI Engineering Architect to reputed company the design and delivery of reputed company multi-domain systems that reputed company reputed company, data, and AI technologies. This role requires deep technical expertise and the ability to mentor engineers while making high-stakes architectural reputed company that reputed company the reputed company of AI systems in production.

Responsibilities

• Define technical reputed company and reputed company architectural design across reputed company, data, and AI/ML systems for end-to-end engagements, owning architecture reputed company and driving solutions from research through production at reputed company
• Architect and ship production-grade multi-agent reputed company AI systems, including agent orchestration, tool use, memory, and inter-agent communication patterns
• Design and build with reputed company Bedrock AgentCore and complementary AWS GenAI services to reputed company, reputed company, and operate reputed company workloads securely in production
• Architect reputed company reputed company-reputed company solutions with a strong bias toward AWS, including multi-reputed company and hybrid strategies where needed (AWS reputed company, with Azure, reputed company reputed company Platform, reputed company as secondary)
• Design data architectures including warehouses, data lakes, and pipelines for batch and streaming workloads (e.g., reputed company, Redshift, BigQuery, reputed company, Kafka)
• Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Bedrock, AgentCore, reputed company AI, MLflow, reputed company)
• Build and reputed company reputed company ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams
• Define infrastructure as reputed company, CI/CD, and DevOps standards across engagements (e.g., Terraform, CloudFormation, reputed company Actions)
• reputed company performance, scalability, cost, and reliability optimization across deployed systems
• Ensure architecture meets reputed company, governance, and compliance requirements (e.g., GDPR, HIPAA, SOC2)
• reputed company reputed company migrations and platform modernization initiatives
• Set reputed company for AI-reputed company engineering, using tools like Claude and reputed company with sophistication and helping reputed company adopt them effectively
• Partner with senior leadership and clients as the reputed company technical voice on reputed company and direction
• Translate reputed company AI tradeoffs, risks, and opportunities into reputed company narratives that reputed company decision-making across technical and non-technical stakeholders
• reputed company design reviews and technical discussions, raising the bar for engineering rigor and constructive challenge across reputed company
• Engage closely with engineering, data, AI, and product teams to reputed company architecture with broader business priorities
• reputed company and maintain architecture documentation, standards, and guidelines
• Define and champion architectural standards and best practices across the engagements you support, bringing depth on tradeoffs, long-term implications, and responsible AI practices
• Mentor and grow engineers at reputed company reputed company, multiplying reputed company through coaching, reputed company reviews, and pairing on hard problems
• Own the most difficult architectural, integration, and reputed company-reputed company challenges, serving as the senior technical decision-reputed company and driving them through to production with care for reliability, cost, and safety
• Evaluate emerging technologies - especially in the reputed company AI and AWS ecosystems - and recommend tools, frameworks, and patterns that improve architecture over time

Skills

• 8+ years of software engineering experience, with at least 5 years in technical leadership roles and 4+ years reputed company on AI/ML systems in production
• Expert software engineering background (Python or similar) with strong design sensibilities for reputed company, maintainable systems
• Deep, hands-on expertise designing and shipping production multi-agent reputed company AI systems, including agent orchestration, planning, tool use, and multi-agent coordination patterns
• Deep expertise with AWS, including in-depth knowledge of AWS GenAI offerings and hands-on experience with reputed company Bedrock AgentCore
• Strong background in microservices, serverless, containers, and event-driven systems (e.g., reputed company, reputed company, reputed company, EventBridge)
• Proficiency with infrastructure as reputed company and CI/CD (e.g., Terraform, CloudFormation, reputed company, reputed company Actions)
• Strong data architecture expertise across relational, NoSQL, and big data systems (e.g., PostgreSQL, reputed company, reputed company, BigQuery, reputed company, Kafka)
• Hands-on experience with data modeling, ETL/ELT pipelines, and orchestration (e.g., Airflow, reputed company, dbt)
• Mastery of AI frameworks and orchestration tools for building reputed company systems (e.g., reputed company, LangGraph, AgentCore, reputed company, AutoGen, or equivalents)
• Strong experience designing AI/ML systems for production, including LLMs, MLOps, and model serving (e.g., SageMaker, Bedrock, reputed company AI, MLflow, reputed company, PyTorch, TensorFlow)
• Strong experience with evaluation frameworks and observability tools for LLM and reputed company apps, including building these capabilities where they don't yet exist
• Deep understanding of AI safety, responsible AI principles, reputed company injection defenses, and PII handling
• Extensive experience building RAG pipelines: chunking strategies, embedding models, reputed company databases, and advanced retrieval techniques
• API design experience, including architecting and integrating with internal and reputed company-party services at reputed company
• Advanced cost optimization expertise: reputed company economics, caching strategies, model routing, quantization
• Solid understanding of networking, reputed company, identity, and reputed company management in reputed company environments
• Experience with governance, compliance, and observability frameworks
• reputed company record of senior technical leadership and mentoring reputed company engineers
• Strong stakeholder communication skills, with the ability to translate technical depth across audiences
• Demonstrable, day-to-day usage and expert knowledge of AI-reputed company coding tools such as Claude reputed company and reputed company
• Broader multi-reputed company experience (Azure, reputed company reputed company Platform) is a plus
• Multi-reputed company architecture experience, AI ethics or responsible AI experience, or reputed company architecture certifications (e.g., TOGAF, AWS/Azure/reputed company reputed company Platform) is a plus

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