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AI/ML Architect - AWS Bedrock & Generative AI Location: USA - Bay Area, California Work Type: Full Time (Hybrid / On site) Experience Required: 8-15 Years in Cloud Architecture and AI Systems Compensation: USD 130,000 - 170,000 Annual Eligibility: Any Visa (Excluding OPT) No Poach Client: Redwood Job Overview: A leading global technology and consulting firm is seeking an AWS Bedrock Architect to design, implement, and scale Generative AI and RAG based architectures leveraging AWS Bedrock. The ideal candidate will have hands on expertise in building agentic workflows, knowledge bases, and serverless applications, and will be responsible for developing high performance, production grade Generative AI systems using AWS native services. Key Responsibilities: Architect and implement scalable Generative AI and RAG (Retrieval Augmented Generation) systems on AWS Bedrock. Design and manage Bedrock Agents including action groups, knowledge bases, and agent orchestration patterns. Develop and optimize AWS Lambda functions (Python) for event driven and agentic workloads. Design and secure AWS API Gateway integrations for REST and WebSocket APIs. Deploy and manage AWS Fargate for containerized and long running AI processes. Automate infrastructure provisioning using AWS CDK (TypeScript or Python) and CloudFormation. Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases. Manage RDS, Aurora, and DynamoDB for AI system data storage. Apply advanced prompt engineering, function calling, and agent reasoning strategies. Build and maintain CI/CD pipelines for serverless and container based deployments. Collaborate with cross functional teams to ensure security, scalability, and cost optimization of AI workloads. Present technical architectures and concepts to both technical and business stakeholders. Must Have Requirements: 8-15 years of total IT experience with strong focus on cloud and AI architecture. Minimum 1 year of hands on experience with Generative AI and LLM based solutions. Proven experience architecting and deploying serverless applications on AWS at scale. Hands on experience with AWS Bedrock Agents in production environments. Strong knowledge of RAG architectures and agentic workflow design. Proficiency in AWS Lambda (Python) and AWS API Gateway. Experience with AWS Fargate, CDK, and CloudFormation for multi service environments. Expertise in vector databases and semantic search implementations. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Must currently reside in the Bay Area, CA. Stable career history - minimum 3 years tenure with past employers. Nice to Have Skills: Experience with AI orchestration frameworks or LLM toolchains. Familiarity with LangChain, LlamaIndex, or similar frameworks. Knowledge of AWS SageMaker, Step Functions, and EventBridge. Experience deploying multi agent systems using Bedrock or custom orchestration layers. Strong presentation and documentation skills for executive level communication. Technical Qualifications: Deep understanding of AWS Bedrock components, Generative AI orchestration, and agent patterns. Expertise in CI/CD pipelines, DevOps, and distributed system architecture. Familiarity with data security and compliance within AI ecosystems. Ability to troubleshoot complex distributed applications across AWS services.

A leading global technology and consulting firm is seeking an AWS Bedrock Architect for a hybrid position in the Bay Area, CA. This role focuses on designing and implementing scalable Generative AI and RAG systems. Candidates should have 8-15 years of IT experience, with strong expertise in cloud architecture, particularly AWS Bedrock and serverless applications. The firm offers competitive compensation between $130,000 and $170,000 annually.

Location & Compensation United States - Bay Area, California Full Time (Hybrid / On site) Experience: 8-15 years in Cloud Architecture and AI Systems Compensation: USD 130,000 - 170,000 annually Job Overview A leading global technology and consulting firm is seeking an AWS Bedrock Architect to design, implement, and scale Generative AI and RAG based architectures leveraging AWS Bedrock. The ideal candidate will build agentic workflows, knowledge bases, and serverless applications, and will develop high performance, production grade Generative AI systems using AWS native services. Key Responsibilities Architect and implement scalable Generative AI and RAG systems on AWS Bedrock. Design and manage Bedrock Agents, including action groups, knowledge bases, and agent orchestration patterns. Develop and optimize AWS Lambda functions (Python) for event driven and agentic workloads. Design and secure AWS API Gateway integrations for REST and WebSocket APIs. Deploy and manage AWS Fargate for containerized and long running AI processes. Automate infrastructure provisioning using AWS CDK (TypeScript or Python) and CloudFormation. Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases. Manage RDS, Aurora, and DynamoDB for AI system data storage. Apply advanced prompt engineering, function calling, and agent reasoning strategies. Build and maintain CI/CD pipelines for serverless and container based deployments. Collaborate with cross functional teams to ensure security, scalability, and cost optimisation of AI workloads. Present technical architectures and concepts to both technical and business stakeholders. Must Have Requirements 8-15 years of total IT experience focused on cloud and AI architecture. Minimum 1 year of hands on experience with Generative AI and LLM based solutions. Proven experience architecting and deploying serverless applications on AWS at scale. Hands on experience with AWS Bedrock Agents in production environments. Strong knowledge of RAG architectures and agentic workflow design. Proficiency in AWS Lambda (Python) and AWS API Gateway. Experience with AWS Fargate, CDK, and CloudFormation for multi service environments. Expertise in vector databases and semantic search implementations. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Must currently reside in the Bay Area, CA. Stable career history - minimum 3 years tenure with past employers. Nice to Have Skills Experience with AI orchestration frameworks or LLM toolchains. Familiarity with LangChain, LlamaIndex, or similar frameworks. Knowledge of AWS SageMaker, Step Functions, and EventBridge. Experience deploying multi agent systems using Bedrock or custom orchestration layers. Strong presentation and documentation skills for executive level communication. Technical Qualifications Deep understanding of AWS Bedrock components, Generative AI orchestration, and agent patterns. Expertise in CI/CD pipelines, DevOps, and distributed system architecture. Familiarity with data security and compliance within AI ecosystems. Ability to troubleshoot complex distributed applications across AWS services.

Location: USA - Bay Area, California Work Type: Full-Time (Hybrid / On-site) Experience Required: 8-15 Years in Cloud Architecture and AI Systems Compensation: USD 130,000 - 170,000 Annual Eligibility: Any Visa (Excluding OPT) No-Poach Client: Redwood Job Overview A leading global technology and consulting firm is seeking an AWS Bedrock Architect to design, implement, and scale Generative AI and RAG-based architectures leveraging AWS Bedrock. The ideal candidate will have hands on expertise in building agentic workflows, knowledge bases, and serverless applications, and will be responsible for developing high performance, production grade Generative AI systems using AWS native services. This is a senior level, highly technical architecture role requiring strong expertise across AWS Bedrock, Lambda, Fargate, CDK, and vector database integrations, with the ability to guide development teams in deploying robust AI workloads. Key Responsibilities Architect and implement scalable Generative AI and RAG (Retrieval Augmented Generation) systems on AWS Bedrock. Design and manage Bedrock Agents including action groups, knowledge bases, and agent orchestration patterns. Develop and optimize AWS Lambda functions (Python) for event driven and agentic workloads. Design and secure AWS API Gateway integrations for REST and WebSocket APIs. Deploy and manage AWS Fargate for containerized and long running AI processes. Automate infrastructure provisioning using AWS CDK (TypeScript or Python) and CloudFormation. Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases. Manage RDS, Aurora, and DynamoDB for AI system data storage. Apply advanced prompt engineering, function calling, and agent reasoning strategies. Build and maintain CI/CD pipelines for serverless and container based deployments. Collaborate with cross functional teams to ensure security, scalability, and cost optimization of AI workloads. Present technical architectures and concepts to both technical and business stakeholders. Must Have Requirements 8-15 years of total IT experience with strong focus on cloud and AI architecture. Minimum 1 year of hands on experience with Generative AI and LLM based solutions. Proven experience architecting and deploying serverless applications on AWS at scale. Hands on experience with AWS Bedrock Agents in production environments. Strong knowledge of RAG architectures and agentic workflow design. Proficiency in AWS Lambda (Python) and AWS API Gateway. Experience with AWS Fargate, CDK, and CloudFormation for multi service environments. Expertise in vector databases and semantic search implementations. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Must currently reside in the Bay Area, CA. Stable career history - minimum 3 years tenure with past employers. Nice to Have Skills Experience with AI orchestration frameworks or LLM toolchains. Familiarity with LangChain, LlamaIndex, or similar frameworks. Knowledge of AWS SageMaker, Step Functions, and EventBridge. Experience deploying multi agent systems using Bedrock or custom orchestration layers. Strong presentation and documentation skills for executive level communication. Technical Qualifications Deep understanding of AWS Bedrock components, Generative AI orchestration, and agent patterns. Expertise in CI/CD pipelines, DevOps, and distributed system architecture. Familiarity with data security and compliance within AI ecosystems. Ability to troubleshoot complex distributed applications across AWS services.

Overview A leading global technology and consulting firm is seeking an AWS Bedrock Architect to design, implement, and scale Generative AI and RAG-based architectures leveraging AWS Bedrock. Location: USA - Bay Area, California Work Type: Full-Time (Hybrid / On-site) Experience Required: 8-15 Years in Cloud Architecture and AI Systems Compensation: USD 130,000 - 170,000 Annual Eligibility: Any Visa (Excluding OPT) No-Poach Client: Redwood Responsibilities Architect and implement scalable Generative AI and RAG (Retrieval-Augmented Generation) systems on AWS Bedrock. Design and manage Bedrock Agents including action groups, knowledge bases, and agent orchestration patterns. Develop and optimize AWS Lambda functions (Python) for event-driven and agentic workloads. Design and secure AWS API Gateway integrations for REST and WebSocket APIs. Deploy and manage AWS Fargate for containerized and long-running AI processes. Automate infrastructure provisioning using AWS CDK (TypeScript or Python) and CloudFormation. Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases. Manage RDS, Aurora, and DynamoDB for AI system data storage. Apply advanced prompt engineering, function calling, and agent reasoning strategies. Build and maintain CI/CD pipelines for serverless and container-based deployments. Collaborate with cross-functional teams to ensure security, scalability, and cost optimization of AI workloads. Present technical architectures and concepts to both technical and business stakeholders. Must-Have Requirements 8-15 years of total IT experience with strong focus on cloud and AI architecture. Minimum 1 year of hands-on experience with Generative AI and LLM-based solutions. Proven experience architecting and deploying serverless applications on AWS at scale. Hands-on experience with AWS Bedrock Agents in production environments. Strong knowledge of RAG architectures and agentic workflow design. Proficiency in AWS Lambda (Python) and AWS API Gateway. Experience with AWS Fargate, CDK, and CloudFormation for multi-service environments. Expertise in vector databases and semantic search implementations. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Must currently reside in the Bay Area, CA. Stable career history - minimum 3 years tenure with past employers. Nice-to-Have Skills Experience with AI orchestration frameworks or LLM toolchains. Familiarity with LangChain, LlamaIndex, or similar frameworks. Knowledge of AWS SageMaker, Step Functions, and EventBridge. Experience deploying multi-agent systems using Bedrock or custom orchestration layers. Strong presentation and documentation skills for executive-level communication. Technical Qualifications Deep understanding of AWS Bedrock components, Generative AI orchestration, and agent patterns. Expertise in CI/CD pipelines, DevOps, and distributed system architecture. Familiarity with data security and compliance within AI ecosystems. Ability to troubleshoot complex distributed applications across AWS services.

A leading technology firm is seeking a seasoned Technical Architect with 8-12 years of experience in software development to lead the integration of Generative AI across the Software Development Life Cycle. Candidate should possess strong coding skills in Java, .Net, C++, or Python, with a proven track record in building scalable enterprise applications. Responsibilities include designing AI-enabled frameworks, enabling internal teams, and driving innovation. This full-time position offers a salary range of USD 130,000 to 160,000, plus a variable component.

Location & Compensation USA - Bay Area, California Work Type: Full-Time (Hybrid / On-site) Experience Required: 8-15 Years in Cloud Architecture and AI Systems Compensation: USD 130,000 - 170,000 Annual Eligibility: Any Visa (Excluding OPT) No-Poach Client: Redwood Job Overview A leading global technology and consulting firm is seeking an AWS Bedrock Architect to design, implement, and scale Generative AI and RAG-based architectures leveraging AWS Bedrock. The ideal candidate will have hands on expertise in building agentic workflows, knowledge bases, and serverless applications, and will be responsible for developing high-performance, production-grade Generative AI systems using AWS native services. This is a senior level, highly technical architecture role requiring strong expertise across AWS Bedrock, Lambda, Fargate, CDK, and vector database integrations, with the ability to guide development teams in deploying robust AI workloads. Key Responsibilities Architect and implement scalable Generative AI and RAG (Retrieval Augmented Generation) systems on AWS Bedrock. Design and manage Bedrock Agents including action groups, knowledge bases, and agent orchestration patterns. Develop and optimize AWS Lambda functions (Python) for event driven and agentic workloads. Design and secure AWS API Gateway integrations for REST and WebSocket APIs. Deploy and manage AWS Fargate for containerized and long running AI processes. Automate infrastructure provisioning using AWS CDK (TypeScript or Python) and CloudFormation. Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases. Manage RDS, Aurora, and DynamoDB for AI system data storage. Apply advanced prompt engineering, function calling, and agent reasoning strategies. Build and maintain CI/CD pipelines for serverless and container based deployments. Collaborate with cross functional teams to ensure security, scalability, and cost optimization of AI workloads. Present technical architectures and concepts to both technical and business stakeholders. Must Have Requirements 8-15 years of total IT experience with strong focus on cloud and AI architecture. Minimum 1 year of hands on experience with Generative AI and LLM based solutions. Proven experience architecting and deploying serverless applications on AWS at scale. Hands on experience with AWS Bedrock Agents in production environments. Strong knowledge of RAG architectures and agentic workflow design. Proficiency in AWS Lambda (Python) and AWS API Gateway. Experience with AWS Fargate, CDK, and CloudFormation for multi service environments. Expertise in vector databases and semantic search implementations. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Must currently reside in the Bay Area, CA. Stable career history - minimum 3 years tenure with past employers. Nice to Have Skills Experience with AI orchestration frameworks or LLM toolchains. Familiarity with LangChain, LlamaIndex, or similar frameworks. Knowledge of AWS SageMaker, Step Functions, and EventBridge. Experience deploying multi agent systems using Bedrock or custom orchestration layers. Strong presentation and documentation skills for executive level communication. Technical Qualifications Deep understanding of AWS Bedrock components, Generative AI orchestration, and agent patterns. Expertise in CI/CD pipelines, DevOps, and distributed system architecture. Familiarity with data security and compliance within AI ecosystems. Ability to troubleshoot complex distributed applications across AWS services.

Location: USA - Bay Area, California Work Type: Full-Time (Hybrid / On-site) Experience Required: 8-15 Years in Cloud Architecture and AI Systems Compensation: USD 130,000 - 170,000 Annual Eligibility: Any Visa (Excluding OPT) No-Poach Client: Redwood Job Overview A leading global technology and consulting firm is seeking an AWS Bedrock Architect to design, implement, and scale Generative AI and RAG-based architectures leveraging AWS Bedrock. The ideal candidate will have hands on expertise in building agentic workflows, knowledge bases, and serverless applications, and will be responsible for developing high performance, production grade Generative AI systems using AWS native services. This is a senior level, highly technical architecture role requiring strong expertise across AWS Bedrock, Lambda, Fargate, CDK, and vector database integrations, with the ability to guide development teams in deploying robust AI workloads. Key Responsibilities Architect and implement scalable Generative AI and RAG (Retrieval Augmented Generation) systems on AWS Bedrock. Design and manage Bedrock Agents including action groups, knowledge bases, and agent orchestration patterns. Develop and optimize AWS Lambda functions (Python) for event driven and agentic workloads. Design and secure AWS API Gateway integrations for REST and WebSocket APIs. Deploy and manage AWS Fargate for containerized and long running AI processes. Automate infrastructure provisioning using AWS CDK (TypeScript or Python) and CloudFormation. Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases. Manage RDS, Aurora, and DynamoDB for AI system data storage. Apply advanced prompt engineering, function calling, and agent reasoning strategies. Build and maintain CI/CD pipelines for serverless and container based deployments. Collaborate with cross functional teams to ensure security, scalability, and cost optimization of AI workloads. Present technical architectures and concepts to both technical and business stakeholders. Must Have Requirements 8-15 years of total IT experience with strong focus on cloud and AI architecture. Minimum 1 year of hands on experience with Generative AI and LLM based solutions. Proven experience architecting and deploying serverless applications on AWS at scale. Hands on experience with AWS Bedrock Agents in production environments. Strong knowledge of RAG architectures and agentic workflow design. Proficiency in AWS Lambda (Python) and AWS API Gateway. Experience with AWS Fargate, CDK, and CloudFormation for multi service environments. Expertise in vector databases and semantic search implementations. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Must currently reside in the Bay Area, CA. Stable career history - minimum 3 years tenure with past employers. Nice to Have Skills Experience with AI orchestration frameworks or LLM toolchains. Familiarity with LangChain, LlamaIndex, or similar frameworks. Knowledge of AWS SageMaker, Step Functions, and EventBridge. Experience deploying multi agent systems using Bedrock or custom orchestration layers. Strong presentation and documentation skills for executive level communication. Technical Qualifications Deep understanding of AWS Bedrock components, Generative AI orchestration, and agent patterns. Expertise in CI/CD pipelines, DevOps, and distributed system architecture. Familiarity with data security and compliance within AI ecosystems. Ability to troubleshoot complex distributed applications across AWS services.

A leading global technology and consulting firm is looking for an AWS Bedrock Architect in the Bay Area, California. The ideal candidate will have extensive experience in cloud architecture and AI systems, with expertise in AWS Bedrock, Lambda, and Fargate. This role involves designing and implementing high-performance Generative AI systems, requiring 8-15 years of IT experience. The position offers a full-time, hybrid opportunity with a competitive salary ranging from $130,000 to $170,000 annually.

Location: USA - Austin, TX and San Francisco Bay Area (Full Time) Work Type: Onsite / Hybrid (Based on Project Needs) Experience Required: 5+ Years in DSP and ECC Algorithm Design Compensation: USD 160,000 - 180,000 (plus benefits and stock options) Job Overview Our client, a Series D semiconductor innovator, specializes in programmable coherent DSP solutions that power the next generation of cloud and AI infrastructure. Backed by top tier investors such as Kleiner Perkins, Spark Capital, Mayfield, and Fidelity, the company recently exited stealth mode with $180M in funding. This position seeks a senior Algorithm Engineer with deep expertise in Error Correction Codes (ECC) for the optical communication market. The selected candidate will play a pivotal role in designing, simulating, and optimizing ECC algorithms for cutting edge coherent optical transceivers operating at data rates up to 1600 Gbps. Key Responsibilities Design and simulate ECC architectures, defining key capabilities and performance metrics for implementation. Develop, model, and optimize ECC algorithms in MATLAB and C, integrating them with MODEM simulations. Collaborate with VLSI, System, Firmware, and Design Verification teams to align on specifications and system level design. Translate algorithmic models into fixed point representations suitable for hardware (RTL) implementation. Partner with digital and firmware designers to ensure accurate and efficient architecture implementation. Conduct lab based validation, debugging, and tuning of ECC and DSP algorithms to ensure optimal system performance. Must Have Requirements Minimum 5 years of hands on experience in ECC algorithm design and implementation. Strong proficiency in MATLAB and C/C++ for digital signal modeling and testing. Deep understanding of DSP systems and hardware constraints (MATLAB to RTL flow). Proven track record in simulating, validating, and optimizing ECC algorithms. Practical lab experience in debugging and performance tuning of algorithms. Nice to Have Skills Prior experience with Optical Communication Systems or Coherent DSP. Familiarity with high speed DCI (Data Center Interconnect) architectures. Exposure to forward error correction schemes for communication hardware. Understanding of modulation techniques, system simulations, and VLSI integration workflows.

Location :New York / New Jersey / Santa Clara / Dallas (Hybrid or On-site as required)Work Type :Full-Time, PermanentExperience Required :8-12 YearsCompensation :USD 130,000 - 160,000 (plus 10% variable)Eligibility : USC / GC / L2 / H4 EAD / H1 (GC processing after 24 months) Job Overview Looking for a seasoned Technical Architect to lead the integration of Generative AI across the Software Development Life Cycle. The role blends deep engineering expertise with AI innovation, focusing on transforming how enterprise applications are designed, built, tested, and deployed. The position is both internal-facing (team enablement, tooling, automation) and customer-facing (consulting, advisory, adoption leadership), serving as the strategic anchor for AI-driven SDLC modernization. Key Responsibilities (Short Version) Design AI-Enabled SDLC Frameworks: Embed GenAI across requirements, design, coding, testing, and deployment. Enable Internal Teams: Identify GenAI use cases, deliver training, and support engineering teams to boost productivity. Build Custom AI Tools: Develop LLM-based solutions, RAG systems, AI agents, and vector database-powered automation. Fine-Tune LLMs (Good to have): Adapt open-source models to internal codebases for domain-specific tasks. Drive Innovation: Evaluate emerging GenAI tools, introduce new practices, and shape AI adoption strategies. Advise Customers: Lead assessments, workshops, and solution design for AI-driven SDLC transformation. Lead Adoption Programs: Partner with customers to build adoption roadmaps, run hands on sessions, and guide engineering teams through GenAI enablement. Must-Have Qualifications 8-12 years in software development with experience as a Technical Lead/Architect Strong hands on coding skills (Java / .Net / C++ / Python allowed) Proven track record building scalable enterprise applications Expertise in GenAI technologies including LLMs, embeddings, vector databases Prior experience building RAG architectures Experience with AI agent frameworks (LangChain or similar) Deep understanding of SDLC and Agile Strong customer-facing communication & consulting experience Bachelor's degree in Engineering (BE preferred, CS strongly preferred) Nice-to-Have Qualifications Practical experience fine tuning open-source LLMs Experience in building enterprise scale automation frameworks Strong workshop facilitation and presentation abilities

Location: USA - Bay Area, California Work Type: Full-Time (Hybrid / On-site) Experience Required: 8-15 Years in Cloud Architecture and AI Systems Compensation: USD 130,000 - 170,000 Annual Eligibility: Any Visa (Excluding OPT) No-Poach Client: Redwood Job Overview A leading global technology and consulting firm is seeking an AWS Bedrock Architect to design, implement, and scale Generative AI and RAG based architectures leveraging AWS Bedrock. The ideal candidate will have hands on expertise in building agentic workflows, knowledge bases, and serverless applications, and will be responsible for developing high performance, production grade Generative AI systems using AWS native services. This is a senior level, highly technical architecture role requiring strong expertise across AWS Bedrock, Lambda, Fargate, CDK, and vector database integrations, with the ability to guide development teams in deploying robust AI workloads. Key Responsibilities Architect and implement scalable Generative AI and RAG (Retrieval Augmented Generation) systems on AWS Bedrock. Design and manage Bedrock Agents including action groups, knowledge bases, and agent orchestration patterns. Develop and optimize AWS Lambda functions (Python) for event driven and agentic workloads. Design and secure AWS API Gateway integrations for REST and WebSocket APIs. Deploy and manage AWS Fargate for containerized and long running AI processes. Automate infrastructure provisioning using AWS CDK (TypeScript or Python) and CloudFormation. Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases. Manage RDS, Aurora, and DynamoDB for AI system data storage. Apply advanced prompt engineering, function calling, and agent reasoning strategies. Build and maintain CI/CD pipelines for serverless and container based deployments. Collaborate with cross functional teams to ensure security, scalability, and cost optimization of AI workloads. Present technical architectures and concepts to both technical and business stakeholders. Must Have Requirements 8-15 years of total IT experience with a strong focus on cloud and AI architecture. Minimum 1 year of hands on experience with Generative AI and LLM based solutions. Proven experience architecting and deploying serverless applications on AWS at scale. Hands on experience with AWS Bedrock Agents in production environments. Strong knowledge of RAG architectures and agentic workflow design. Proficiency in AWS Lambda (Python) and AWS API Gateway. Experience with AWS Fargate, CDK, and CloudFormation for multi service environments. Expertise in vector databases and semantic search implementations. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Must currently reside in the Bay Area, CA. Stable career history - minimum 3 years tenure with past employers. Nice to Have Skills Experience with AI orchestration frameworks or LLM toolchains. Familiarity with LangChain, LlamaIndex, or similar frameworks. Knowledge of AWS SageMaker, Step Functions, and EventBridge. Experience deploying multi agent systems using Bedrock or custom orchestration layers. Strong presentation and documentation skills for executive level communication. Technical Qualifications Deep understanding of AWS Bedrock components, Generative AI orchestration, and agent patterns. Expertise in CI/CD pipelines, DevOps, and distributed system architecture. Familiarity with data security and compliance within AI ecosystems. Ability to troubleshoot complex distributed applications across AWS services.