aws jobs in San Diego

Senior Snowflake Forward Deployed Engineer who builds AI-enabled solutions and agentic platforms for enterprise clients, with 7+ years of software/data engineering experience and 1+ years of hands-on GenAI/LLM deployment. Will design and deliver production-quality code using strong testing, CI/CD, and documentation practices, lead project workstreams translating business problems into AI solutions, and mentor other engineers through design reviews and reusable component contributions.…See more Must hold or be able to obtain a US government security clearance and have current SnowPro Core Certification, with hands-on experience in Snowflake Cortex AI, LLM Functions, Agents, or Arctic Embed.

As a Sr Consultant in GCP Cloud Analytics, you will design and implement end-to-end cloud analytics architectures on Google Cloud Platform, supporting clients through full lifecycle data solutions including ingestion, transformation, governance, and analytics enablement. You'll develop optimized cloud-based data solutions using structured and unstructured sources, lead portions of complex technology engagements, and coordinate delivery across geographically distributed teams.…See more The role requires 5+ years of technology consulting or industry experience with GCP, 1+ full lifecycle GCP implementation, 2+ years of SQL and Python, and the ability to lead workstreams with multi-location resources.

Design and build production-ready agentic AI applications that automate mission-critical workflows. You will implement agent orchestration frameworks, tool-calling patterns, and multi-agent interactions using LLM platforms like AWS Bedrock and OpenAI, working in fast 4-week prototype cycles with a small high-performing team.…See more The role requires end-to-end technical ownership from design through deployment, including prompt engineering, retrieval patterns (RAG/GraphRAG), and observability implementation. You'll collaborate with product leads and solution architects to deliver reliable, cost-effective agent-based solutions that solve client challenges.

Seeking a Senior .NET Full-Stack Developer with 7+ years of hands-on experience across .NET technologies (C#, .NET Core, ASP.NET MVC, Web API, Entity Framework) and 5+ years of modern front-end development (Angular, React, or Vue.js). The role requires expertise in cloud platforms (Azure, AWS, or GCP), integration technologies (RESTful APIs, SOAP, microservices, message queues), and databases (SQL Server, MySQL, PostgreSQL, NoSQL).…See more This is a full-time, on-site position in San Diego focused on enterprise-level full-stack application development and deployment.

Build and ship agentic AI capabilities (e.g., Vertex AI-based Discovery Agents) from design through production, owning the full software development lifecycle, implementation, testing, and deployment. Harden proof-of-concept agent code into production-grade quality with strong error handling, observability, and testing.…See more Design test cases and evaluation checks for non-deterministic agent behavior, and build data ingestion pipelines using AWS and big-data tooling. Contribute to production support including monitoring, alerting, and incident response for an AI-driven service.

Associate VP Network Engineer at Deloitte leading enterprise network design, deployment, and modernization across campus, data center, and hybrid cloud environments. Requires 10+ years of enterprise networking (Layer 2–7 protocols, BGP, OSPF, firewalls, load balancers) and 8+ years of consulting/systems integration experience, with proven ability to own full engagement delivery, manage P&L, lead technical teams, and build executive client relationships.…See more Preferred qualifications include network certifications (CCIE, CCNP), hands-on design/implementation expertise, cloud connectivity strategy, SD-WAN/SDN/Zero Trust architecture, network automation (CI/CD, Ansible, Terraform), and advisory experience on technology strategy and legacy-to-modern migrations.

Lead a full-stack engineering team building AI/ML products at Accenture's QuantAI practice, bridging research algorithms into production systems for trading, investment, and optimization use cases. You will manage engineers across frontend, backend, and ML infrastructure; define quality standards and evaluation frameworks; coach team members; and collaborate with quants and client teams to ship end-to-end products.…See more The role requires 5+ years of shipped software experience, 2+ years of hands-on full-stack depth (frontend, backend, databases, deployment, debugging), and ideally deep experience designing LLM/agentic systems or working in high-stakes decision-support domains.

Senior full-stack .NET developer role requiring 7+ years of hands-on experience with C#, .NET Core, ASP.NET MVC, Web API, and Entity Framework, plus 5+ years of modern front-end development with Angular, React, or Vue.js. The role demands expertise in cloud platforms (Azure, AWS, GCP), integration technologies (REST APIs, SOAP, microservices, message queues), and containerization (Docker, Kubernetes).…See more Responsibilities include full-stack development, cloud-based application deployment, CI/CD pipeline work, and enterprise-level system integrations on an on-site basis in San Diego.

Serve as a forward-deployed technical engineer for banking clients, acting as the primary technical point of contact and architect advisor. Design and prototype scalable microservices and cloud-native solutions, conduct discovery sessions and deep-dive technical workshops, and build production-ready POCs that demonstrate platform value.…See more Translate complex architectures and emerging AI/ML patterns into clear guidance for both technical and non-technical stakeholders, while gathering customer feedback to inform product strategy. Requires 5+ years of software engineering with significant client-facing experience, deep expertise in Java, Spring Boot, microservices architecture, multi-cloud deployment (AWS primary), Kafka-based event-driven systems, and hands-on knowledge of LLM integration and agentic AI frameworks.

Senior DevSecOps Engineer supporting U.S. Navy modernization efforts to build, test, and deploy microservices on container orchestration platforms.…See more You will design and maintain CI/CD pipelines, automate infrastructure, support containerized platforms in secure environments, and collaborate with software and cyber engineers to solve delivery problems. Requires 8+ years of experience (or 6+ with master's degree), strong Kubernetes expertise, Secret clearance or ability to obtain one, CompTIA Security+ certification, and 5+ years with containerization, orchestration, CI/CD tools, infrastructure-as-code, Linux systems, and scripting.

Lead a client-facing solutions engineering role focused on data products and AI/ML integration within financial services. You'll conduct discovery sessions, translate complex architectures into clear narratives, and work hands-on with implementation teams to structure, configure, and publish data products using SQL, Python, and cloud platforms.…See more You'll enable client teams to self-serve data product creation, run training and office hours, and surface product gaps and feature requests back to internal teams while managing multiple concurrent client engagements.

Lead data engineering and governance initiatives for enterprise clients, architecting AI-integrated data fabric solutions on cloud platforms like Snowflake, Databricks, and Azure Synapse. Design and deliver ETL/ELT pipelines, data integration strategies, streaming architectures, and metadata governance frameworks.…See more Requires 5+ years in data architecture, enterprise data engineering, or AI platform delivery, with hands-on expertise in cloud data platforms, data modeling, API/streaming design, and enterprise system integration (especially Salesforce). Contribute thought leadership and drive client engagements around enterprise data strategy and AI-ready platforms.

As Production Support Lead for ClaimBeacon, a Deloitte AI-powered claims platform integrated with Guidewire, you'll own L3 production support — reproducing and resolving application bugs, data pipeline failures, AI agent issues, and small enhancements. You'll troubleshoot across the full stack (Java, Python, Flutter, AWS), use logs and monitoring to find root cause, ensure data and AI governance compliance, and decide when to escalate versus fix directly.…See more The role demands 5+ years of production support or software engineering experience, with proven end-to-end ownership of live issues, and strong exposure to agentic AI, DevOps, SQL, and insurance platforms like Guidewire.

Lead Forward Deployed Engineer responsible for architecting and delivering LLM-enabled applications (copilots, agentic workflows, assistants) using enterprise AI platforms like Claude, Gemini, or GPT-4o. Drive end-to-end RAG pipeline design, prompt engineering, evaluation frameworks, and data foundations while mentoring junior engineers and enforcing delivery standards across multi-pod engagements.…See more Require 7+ years software/data engineering experience, 1+ year hands-on GenAI/LLM production deployment, and proven ability to lead project workstreams and translate business problems into AI solutions.

As a Senior Consultant, you will design, configure, and build Amazon Connect contact center solutions, translating client requirements into contact flows, routing logic, IVR systems, and integrations with AWS services and enterprise platforms like Salesforce and ServiceNow. You'll lead technical workstreams end-to-end, manage onshore/offshore development teams, own delivery from design through deployment, and support testing, releases, and post-go-live stabilization.…See more The role requires 6+ years of IT/software delivery experience, including 3+ years of hands-on Amazon Connect implementations and 2+ years leading technical teams with accountability for scope, quality, and timelines.

As a Technical Manager, you will lead the architecture, engineering, and delivery of AWS-based cloud contact center and Generative AI solutions. You'll design scalable solutions using Amazon Connect, Lex, Bedrock, Lambda, and other AWS services, incorporating AI patterns like RAG and agent/tool calling.…See more You'll translate client requirements into technical architectures and integration designs, partnering with stakeholders from design through implementation, testing, deployment, and production support. This role requires 8+ years in technology consulting or cloud architecture, including 4+ years deploying production AWS solutions and designing cloud contact center platforms with Generative AI capabilities.

Design, build, and deploy production agentic AI solutions powered by Claude for enterprise clients, from proof-of-concept through production. Implement multi-agent systems that automate business processes, integrate with enterprise tools, and operate within defined autonomy and guardrails.…See more Modernize existing AI/ML platforms with generative AI capabilities including RAG and agent-based orchestration. Advise clients on generative AI adoption strategy, responsible AI practices, and model selection while partnering with technology, data, and business stakeholders to scope and deliver solutions.

Lead a team of consultants building production AI/ML applications for cybersecurity, with hands-on responsibility for architecture, code review, and integration across SIEM, SOAR, EDR, and other security platforms. Own technical delivery, timelines, and budgets while mentoring engineers and staying engaged in pair programming and troubleshooting.…See more Work with frontier LLM providers to evaluate agentic systems, RAG pipelines, tool-calling agents, and evaluation harnesses for threat detection and incident response automation. Partner with client stakeholders to translate cyber capabilities into engineering requirements and support account growth through proposals, demos, and reusable delivery playbooks.

Build and deploy AI/ML solutions for cybersecurity as a senior consulting engineer at EY. You will design frontier AI models, LLMs, and agentic architectures tailored to client security workflows, integrating them with SIEM, SOAR, EDR, and other security platforms.…See more You'll translate client use cases into engineering tasks, develop evaluation harnesses, build secure AI deployment pipelines, and deliver production-ready solutions with clear documentation and testing. The role requires 3–5 years of hands-on software engineering experience, proficiency in Python and cloud platforms (AWS/Azure/GCP), and demonstrated expertise in building or deploying AI/ML systems within security contexts.

Principal Cyber Architect supporting DoD systems engineering teams on Assessment and Authorization (A&A) activities under the Risk Management Framework. Responsible for cyber design engineering, DevSecOps integration, vulnerability assessment, system security plan development, and defense-in-depth architecture analysis.…See more Requires a bachelor's degree in cyber/systems/software/electrical engineering plus 6+ years of related experience, and at least one DoDM 8140-compliant certification (CCSP, CISSP-ISSEP/ISSAP, CSSLP, or Cloud+).

This role is a technical cloud architect for AWS Professional Services focused on Life Sciences and Manufacturing/Supply Chain customers. You will design and implement complex cloud solutions involving AI/ML, IoT, digital twins, supply chain optimization, and manufacturing data platforms — including CMC orchestration, MES/MOM modernization, and agentic supply chain deployments.…See more You'll drive solution architecture from prospecting through sales closure, translating regulatory and compliance requirements (cGMP, GxP, 21 CFR Part 11, FDA/EMA) into technical designs using AWS services like IoT SiteWise, IoT TwinMaker, Bedrock, SageMaker, and Supply Chain tools. The role requires 8+ years of cloud architecture, 7+ years in Healthcare/Life Sciences or Manufacturing industries, and deep expertise in Data & AI technologies, with a bachelor's degree in computer science, engineering, or a quantitative field.

Develop and deliver Contact Center as a Service (CCaaS) and Contact Center AI solutions for enterprise clients. Design AWS-based architectures using Amazon Connect, Lex, Bedrock, and other services, with hands-on configuration of NICE CXone, Five9, Genesys Cloud, and integrations to CRM and enterprise platforms.…See more Implement generative AI capabilities including RAG, conversational AI, and guardrails. Mentor junior team members, communicate technical concepts to stakeholders, and support delivery from architecture through production support.

Lead enterprise generative AI architecture and solution design on Oracle Cloud Infrastructure (OCI), focusing on agentic workflows, retrieval-augmented generation pipelines, and Oracle application integrations. Define governance, security, and compliance standards for AI/ML initiatives across the enterprise.…See more Mentor delivery teams on prompt engineering, model selection, and optimization; identify high-value AI use cases and guide pilot deployments that drive business outcomes.

Backend Software Engineer II will design and implement APIs and microservices for Affirm's checkout platform, focusing on financial products that provide accessibility and flexibility to users. The role involves owning checkout system components, improving system performance and reliability, and collaborating across teams to build the next generation of the platform.…See more You will work with Python, Kotlin, Redis, MySQL, and AWS in a fast-paced environment, balancing new feature development with system health and engineering standards.

As L3 production support lead for ClaimBeacon, a Guidewire-integrated agentic AI platform, you'll own end-to-end troubleshooting and resolution of production bugs, data pipeline failures, AI agent issues, and small enhancements across the full stack (Java, Python, Flutter). You'll reproduce issues using logs and monitoring tools, decide what escalates to core engineering, and ensure fixes maintain data/AI governance and compliance standards.…See more The role requires 5+ years of software engineering or production support experience with proven end-to-end ownership of production issues, plus comfort working across frontend, backend, data, and infrastructure in a live, high-pressure environment.