apis 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.

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 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.

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.

Senior Technology Analyst role focused on SAP data migration and master data governance (MDG). You will engage with business stakeholders to gather requirements, analyze technology solutions against business needs, and collaborate with technical teams to design system architecture.…See more Key responsibilities include working hands-on with SAP data tools (Data Services, Information Steward, MDG, Datasphere), managing data quality and compliance, and translating business needs into SAP and non-SAP system configurations and integrations.

Lead cloud architecture and engineering strategy for KPMG's Global Advisory Group, establishing architectural vision across Microsoft Azure platforms and solution domains. Translate complex business requirements into scalable architectures, technical roadmaps, and integration patterns while directing engineering teams through design, performance, and production challenges.…See more Sponsor proofs of concept, define enterprise standards for automation, containers, APIs, observability, and Infrastructure as Code, and partner with GitHub Platform Owner to deliver CI/CD, secure delivery pipelines, and GitHub Advanced Security capabilities. Requires 10+ years directing cloud architecture in complex enterprise environments with demonstrated expertise in Azure, cloud migration, container platforms, Infrastructure as Code, and GitHub Enterprise.

Develop Python solutions for natural language processing and machine learning, including text analytics, topic modeling, embedding-based classification, and entity extraction. Build network-analysis capabilities such as knowledge graphs and GraphRAG-like systems, deploy APIs, integrate data feeds, and adapt to new technical environments with limited supervision.…See more Requires 4+ years of Python development experience, an active Secret clearance, and active Security+ certification. Experience with TypeScript front-end development and API deployment is required.

This is a hands-on Solution Architect role for an AI-enabled Managed Services team, requiring deep technical expertise in designing end-to-end application architectures spanning UI, APIs, services, data, and AI components. The role combines hands-on coding and prototyping with architecture ownership, emphasizing active participation in codebases, AI tool evaluation, and guiding engineering teams through complex technical decisions.…See more Key responsibilities include designing reference architectures for AI patterns (RAG, vector search, prompt orchestration), defining non-functional requirements (performance, reliability, security), architecting CI/CD pipelines, and ensuring production readiness. The ideal candidate has 8+ years of software engineering experience, strong cloud-native and modern application architecture knowledge, practical AI feature development, and comfort working directly in code and infrastructure.

A forward-deployed engineer who embeds with enterprise clients to identify business needs and build production-grade AI solutions using Palantir platforms (Foundry, AIP, Maven). The role combines solution engineering—developing agentic AI systems, LLM-powered workflows, and scalable patterns with strong testing and CI/CD practices—with client engagement and stakeholder alignment.…See more Requires 3+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir; involves 50% travel and mentoring of junior team members.

Lead security operations and threat detection engineering for enterprise clients using Google SecOps (Chronicle SIEM and Siemplify SOAR). Design and deploy log ingestion pipelines, develop threat detection rules, translate SOC processes into automated playbooks, and manage integrations across security platforms.…See more Mentor junior SOC engineers and collaborate with threat detection teams to reduce alert fatigue and scale response capabilities.

Senior Consultant leading Moveworks AI Assistant implementation projects for enterprise HR and IT service delivery. Responsibilities include establishing user journeys, configuring AI agents and integrations, managing ServiceNow/Workday implementations, and collaborating with stakeholders across discovery, design, build, test, and deployment.…See more Requires 4+ years of enterprise platform implementation (ServiceNow, Workday) and API/integration experience; preferred experience with conversational AI platforms and solution architecture.

Lead large, multi-workstream enterprise technology programs including ERP rollouts, cloud migrations, identity/security initiatives, and system integrations from planning through go-live and stabilization. Define program structure, roadmap, and delivery strategy; coordinate multiple project managers and vendor teams; drive technical delivery conversations across architecture, data migration, security, and testing; establish governance and executive reporting; own risk management and budget accountability; and mentor junior program managers.…See more Requires 8+ years of program management experience with 5+ years leading complex multi-workstream technology programs and proven delivery of large-scale enterprise initiatives through go-live.

The Software Test Engineer will design, build, test, and deliver integrated software solutions for complex, mission-critical DoD systems. Responsibilities include testing software across mission systems, gathering requirements, developing test plans, and building/maintaining CI/CD pipelines for containerized deployments.…See more The role requires 3+ years of experience with version control, programming languages (C++, Python, Java, JavaScript), containers (Docker/OCI), SQL/relational databases, and Linux command-line usage, plus ability to work with modern frontend frameworks and DevSecOps practices.

Designs and develops full-stack software for web applications and engineering tools, working across the data, integration, API, and UI layers. Writes reliable, testable, and maintainable code under supervision; completes technical tasks for system integrations, APIs, and software lifecycle pipelines.…See more Manages the development process from development through production release in collaboration with IT teams. Requires 2+ years of programming experience (Java, Python, etc.) and 1+ year with data structures, algorithms, and data stores.

Associate Software Engineer at Resmed will design, build, test, and deploy cloud-native applications and services that solve real healthcare customer problems. The role emphasizes modern software engineering practices, APIs, testing, and version control, with hands-on experience across the full development lifecycle from idea to production.…See more You'll use AI-assisted development tools and coding agents to support development and learning, and participate in code reviews, automated testing, CI/CD, and incident response. The position requires 2+ years of software development experience, strong programming fundamentals in a modern language, and genuine curiosity about how emerging AI-enabled engineering workflows can improve software development.

Design, develop, and optimize machine learning systems for production AI platforms, focusing on model development, inference optimization, and scalable ML infrastructure. Responsibilities include building ML pipelines and frameworks, optimizing model inference for latency and cost, integrating LLMs into APIs and microservices, and designing data pipelines for preprocessing and feature engineering.…See more The role requires strong software engineering fundamentals combined with deep ML expertise, working across PyTorch/TensorFlow, model-serving systems, distributed computing, and GPU environments.

Design, develop, and optimize production machine learning systems including model development, inference optimization, and scalable ML infrastructure. Build end-to-end ML pipelines from training through deployment, optimize model inference for latency and cost, integrate LLM/ML models into APIs and microservices, and engineer data pipelines for preprocessing and validation.…See more Requires strong software engineering fundamentals with deep ML expertise, proficiency in Python and systems languages, and experience with ML frameworks, model serving, and distributed computing.

Software Systems Integration SME responsible for designing, developing, integrating, and sustaining resilient software applications in complex, mission-critical environments. Will provide senior technical leadership, mentor engineering teams, and coordinate across multidisciplinary groups to solve integration challenges across distributed systems, microservices architectures, and modern cloud platforms.…See more Expected to support DevSecOps and Agile practices, analyze system workflows and data flows, and translate complex technical topics for engineering, program, and operational leadership. Experience required in software architecture, requirements-driven design, software development lifecycle, and system interfaces.

Qualcomm seeks a Staff Product Data Manager for AI Platforms & Systems Solutions to define product strategy and drive cross-functional decision-making for edge AI/ML platforms, inference runtimes, and agentic frameworks. The role requires deep technical expertise in Windows-ecosystem AI platforms, LLM/VLM models (1B–150B range), edge AI APIs/SDKs, and AI middleware frameworks, combined with the ability to work independently, influence senior leadership, and manage complex multi-year initiatives across matrixed organizations.…See more Responsibilities include assessing feasibility, translating innovation into shippable solutions, negotiating partnerships, and authoring technical specifications—all with minimal supervision and significant organizational impact. The ideal candidate brings 10+ years in product management or technical roles, experience shipping AI platforms, familiarity with standards bodies, and strong communication skills to convey complex information to diverse audiences.

A forward-deployed engineer who builds and deploys AI/GenAI-powered solutions on Databricks and cloud platforms for forensic discovery and financial crime clients. The role requires hands-on expertise in Databricks, cloud services (AWS/Azure/GCP), and production AI/LLM systems, combined with the ability to lead client engagements, translate business requirements into technical architectures, and troubleshoot integration issues across enterprise environments.…See more You will design reusable assets, document workflows, and enable client teams to sustain delivered solutions while navigating security, compliance, and privacy reviews.

Develop scalable AI engineering patterns and production-quality code for government clients, balancing quality, safety, latency, cost, and model risk. Apply strong practices in testing, CI/CD, logging, versioning, and documentation while designing extensible functionality aligned with senior team members.…See more Requires 4+ years of software/data engineering experience, 1+ year building and deploying GenAI or LLM solutions, and 1+ year with Google Cloud (Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration). Lead project workstreams, translate business problems into AI solutions, and contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

Senior Control Plane Software Engineer responsible for designing and developing distributed services for Software Defined Networking (SDN), ground segment, and satellite operations. The role combines control plane architecture expertise with cloud-native development (microservices, Kubernetes, Docker) and embedded systems integration across AWS, GCP, and on-premises platforms.…See more Requires 10+ years of software development experience with deep knowledge of SDN, routing/switching protocols, APIs, and distributed systems, plus ability to collaborate across data plane, platform, and embedded teams to ensure reliability and scalability of network software.

Senior network engineer responsible for assessing, designing, and deploying enterprise network solutions across campus, data center, and hybrid cloud environments. Requires 4+ years of enterprise networking experience with Layer 2/3/4-7 protocols, 3–5 years of consulting or systems integration experience, and ability to lead technical teams while managing stakeholder relationships.…See more Will work on network modernization initiatives including AI/ML workload integration, using vendor solutions and internal accelerators, with up to 50% travel.

Senior Director responsible for designing, building, and scaling enterprise technology platforms serving Commercial and Global Medical Affairs at a biotech company. Oversees a portfolio including Veeva, Salesforce CRM, PromoMats, MedComms, master data, field enablement, market access, patient services, and analytics integrations.…See more Leads cross-functional teams, vendors, and systems integrators to simplify the technology footprint, embed compliance and security, drive process improvement, and realize benefits from new capabilities. Requires 12+ years of progressive IT/business technology experience, with 8+ years in biotech/pharma and 5+ years supporting Commercial and Medical Affairs functions.

As an MDM Solutions Engineer, you will serve as a product and delivery lead for Reltio and/or Informatica MDM platforms in Life Sciences, designing and maintaining master data models for HCP/HCO, accounts, affiliations, and product hierarchies. You will configure identity resolution, survivorship, and stewardship workflows; establish data quality rules and monitoring; and partner with cross-functional stakeholders to drive adoption and governance operations.…See more The role requires 5+ years of data management/MDM experience with 2+ years of hands-on Reltio or Informatica MDM implementation, plus deep knowledge of Life Sciences commercial domains and data governance frameworks.