Software Gigs

This role involves evolving Qualcomm's Robotic Process Automation capabilities into next-generation agentic automation solutions. The Senior Agentic Automations Engineer will design and deploy AI-driven agents, enterprise chatbots, and workflow engines, leading technical delivery across a global team while integrating RPA platforms like Automation Anywhere with containerized architectures. Key responsibilities include defining automation standards, building full-stack enterprise applications, and ensuring secure integration with enterprise systems using Docker, Kubernetes, and agentic frameworks like LangGraph and n8n.

Design, develop, and optimize machine learning systems for production AI platforms, including model development, inference optimization, and scalable ML infrastructure. Build training-to-deployment pipelines, optimize model serving for latency and cost, and integrate LLMs and generative AI models into microservices and APIs. Develop data pipelines for ingestion, preprocessing, and feature engineering while collaborating cross-functionally with product, platform, and hardware teams to deliver end-to-end ML solutions.

Director-level technical program management role leading large-scale, cross-functional strategic initiatives within ServiceNow's APEX organization. You will own complex new product development programs from conception through operations, translating business strategy into execution plans, organizing ambiguous problems into prioritized milestones and deliverables, and driving accountability across senior leadership and engineering teams. The role emphasizes AI-native program management—using AI tools to synthesize intelligence, surface risks, and accelerate decision-making—and requires extensive experience managing high-complexity programs with quantifiable impact on revenue and competitive positioning.

This is a hands-on security engineering role focused on running Saronic's cyber threat intelligence program. The engineer will track nation-state and advanced criminal adversaries targeting the defense industrial base, operationalize indicators and TTPs into detections and hunts, produce finished intelligence products, and fuse external threat feeds with internal telemetry to prioritize real exposures. The role requires 4+ years in cyber threat intelligence, threat hunting, detection engineering, or intrusion analysis with demonstrable experience tracking sophisticated or state-sponsored adversaries.

Join Qualcomm's Enterprise AI Engineering organization as a BizAI Tech Functional Engineer, bridging business stakeholders in Finance, Sales, and SCM with the AI engineering team. You will design and deliver AI-driven agents, natural-language analytics, and workflow automations on Qualcomm's unified BizAI platform, integrating with enterprise systems like Databricks, Oracle, Salesforce, and M365. The role requires full-stack technical expertise (Python, TypeScript, FastAPI, n8n, Kubernetes) combined with functional fluency to translate process pain points into governed, production-grade solutions that meet SOX, security, and auditability standards. You'll support adoption through enablement and hands-on guidance while defining standards for scalability and compliance across the enterprise.

The AI Architect will lead the design, development, and deployment of enterprise-scale generative AI solutions across Azure and AWS, partnering with business and engineering leaders to define AI strategy and architecture standards. The role requires deep expertise in modern LLMs (Claude, Gemini, OpenAI), multi-cloud AI platforms, and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years architecting AI/ML solutions. Key responsibilities include designing end-to-end GenAI solutions leveraging RAG, agentic AI, and multi-agent systems; establishing cloud-native deployment patterns; and defining governance, compliance, and responsible AI frameworks. The ideal candidate will serve as a trusted technical advisor to executives, mentor engineering teams, and drive AI adoption through reusable frameworks and reference architectures.

Design, build, and ship LLM-powered capabilities end to end—from prototyping and fine-tuning models to deploying production agents and retrieval systems. Own the full stack: prompt and context engineering, multi-step agent design with tool calling, RAG systems (embeddings, chunking, hybrid search, reranking), fine-tuning on multi-GPU with LoRA/QLoRA, evaluation and tracing infrastructure, and clean APIs for other engineers. Work in a secure, distributed environment where the platform runs on customer compute, cloud, or hybrid setups, requiring expertise with both commercial and self-hosted models.

Build the foundational agentic AI layer for a materials-science platform, including multi-model provider abstraction, agent orchestration with stateful checkpoints, retrieval systems, prompt versioning, and comprehensive tracing and evaluation frameworks. You'll design agents that plan and reason over tool calls in production, implement human-in-the-loop safety gates, and ensure all LLM behavior remains auditable and cost-tracked across customers' secure environments. The role demands deep production experience with agentic and LLM systems: async Python, structured outputs, memory and context management, multi-step workflow orchestration, and evaluation harnesses that catch regressions before deployment.

As an Associate Software Engineer on the Digital Product Development team, you will participate in full-stack, full-cycle product development for cloud-native applications and IoT device lifecycle management platforms. You'll design, develop, and deploy web applications and services using languages like Java, React, and JavaScript, with emphasis on PaaS/IaaS, serverless services, and container technology. Responsibilities include code reviews, CI/CD pipeline development, automated testing, and building reliable, scalable cloud-native applications following security best practices. The role requires solid technical acumen, strong problem-solving skills, and the ability to work collaboratively in a fast-paced, high-growth environment.

Staff-level cloud software engineer responsible for building and operating Intuit's edge, CDN, and WAF infrastructure at scale. Design self-service platforms and APIs for CDN/WAF onboarding, DNS, and certificate lifecycle management. Engineer edge security policies (Akamai, AWS WAFv2), troubleshoot packet-path connectivity, and automate compliance and cost operations. Direct AI agents to build and operate infrastructure faster while providing 24x7 incident response and mentoring engineers on automation patterns.

Lead end-to-end product management for advisor-facing AI experiences within LPL Financial's AI Business Solutions team. Own product vision, roadmap, and delivery lifecycle from opportunity framing through commercialization and scaled adoption. Define advisor chat and agentic AI capabilities, evaluate third-party AI vendors, and ensure measurable business impact aligned to enterprise OKRs. Collaborate in a four-in-a-box model with Technology, Business, and Operations & Risk to co-design product definitions, data contracts, evaluation frameworks, and governance documentation.

Qualcomm seeks a Machine Learning R&D leader to design and deliver Agentic AI systems for hardware design automation. The role combines hands-on technical execution with team leadership, requiring deep expertise in generative AI, large language models, and ML/AI product development. Responsibilities include architecting end-to-end ML solutions, coaching an interdisciplinary team of researchers and engineers, and bridging research prototypes into production design tools. The ideal candidate brings PhD-level credentials, 2+ years of industry ML/GenAI experience, and proven expertise in agentic AI frameworks, foundation models, and complex ML software pipelines.

This intermediate-level role develops AI-enhanced decision systems for government sponsors, applying machine learning, large language models, and decision science to mission-critical problems. You will design, prototype, and evaluate AI solutions in cross-functional teams, lead R&D initiatives, and work hands-on with modern AI techniques including deep learning, reinforcement learning, generative AI, and multi-agent systems. The role requires 2+ years of hands-on ML experience (or 1 year with a Master's degree) and proficiency in Python and/or C++, with the ability to communicate complex technical concepts to both technical and non-technical audiences.

Staff-level cloud software engineer responsible for building and operating Intuit's edge, CDN, and WAF infrastructure protecting ~100M customers. Design and automate self-service platforms for CDN/WAF onboarding, edge security policies, DNS, and certificate lifecycle management across Akamai and AWS. Engineer APIs, UIs, and infrastructure-as-code solutions; troubleshoot the full packet path; and direct AI agents to scale operations. Provide 24x7 incident response and mentor engineers on networking, security, and cloud platform best practices.

The Implementation Manager leads customer implementations of the Moveworks Agentic AI platform, overseeing on-time, on-budget delivery and ensuring projects follow leading practice methodology. Responsibilities include managing engagement governance, timeline, scope, risk, and resourcing; helping customers build and launch agentic workflows; and providing change management guidance for adoption and organizational readiness. The role requires collaborating with customer teams, partners, and internal stakeholders (Sales, services) to understand customer goals, identify gaps between plan and actuals, and serve as the primary point of contact for project success. Success demands mentoring team members and partners, tracking progress, and managing deviations through appropriate mitigation strategies.

Design, develop, and deploy end-to-end generative AI solutions including GenAI agents, LLMs, and applications to solve complex business challenges. Build data pipelines, design APIs for AI accessibility, and collaborate with cross-functional teams (developers, data scientists, business) to implement enterprise GenAI solutions. Requires 4+ years of full-stack application development (Java, Python, JavaScript) and 3+ years with data structures, algorithms, and data stores. Stay current with AI research and communicate technical concepts to non-technical stakeholders.

Staff Software Developer who will design, develop, and maintain AI-enabled knowledge management and decision-support platforms for environmental and engineering applications. Responsibilities include building data ingestion workflows, implementing retrieval-augmented generation (RAG) systems with vector embeddings and semantic search, developing backend services and APIs, creating secure web-based UIs, and working with cloud services (Azure AI Search, Blob Storage, PostgreSQL). The role requires strong software development skills demonstrated through a public code portfolio, familiarity with LLMs and prompt engineering, and the ability to collaborate across technical teams to translate project needs into practical features.