The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 183,000 - 365,000 in Colorado // 197,000 - 395,000 in Massachusetts // 197,000 - 420,000 in California // 173,000 - 420,000 in North Carolina & Texas The listed salary range reflects base salary. Variable incentives may also be offered.
Responsibilities
Own the reference architecture and engineering standards for production agentic AI systems.
Design reusable agent execution harnesses that separate AI reasoning and planning from deterministic execution.
Lead multi-agent workflows, state management, memory, tool calling, human-in-the-loop controls, and long-running processes.
Define model-agnostic interfaces supporting commercial, cloud-hosted, and open-weight models, including routing, fallback, and workload-based selection.
Architect retrieval, context, and memory services using technologies such as RAG, hybrid search, and vector databases.
Full-stack AI role focused on building AI agents for healthcare patients, covering conversation design, prompts, tool calling, evals, and the APIs that make agents work in production.
Compensation
The typical salary range for this role is $160,000 to $210,000 USD, depending on skills, qualifications, and relevant experience.
Responsibilities
Design, build, and ship AI agents end to end, including conversation flows, prompts, tool and function calling, retrieval, memory, and the backend services agents depend on.
Build evaluation systems (offline test suites, simulated conversations, human review loops, and production monitoring) so we know an agent is good before and after it ships.
Improve instruction following, tool-calling reliability, latency, and cost across our LLM and speech stack.
Help design and build our next-generation voice agent platform, choosing the right models and architecture for each task based on quality, latency, and cost.
Partner with clinical, product, and customer teams to turn workflows like scheduling, refills, billing, and post-discharge check-ins into reliable agent behavior.
Own the systems behind how Cresta shows up on the internet, architect and build the web platform, and develop custom AI agents on Cresta's platform for marketing use cases.
Compensation
Base Salary Range: $160K - $280K + Equity
Responsibilities
Own how cresta.com is built end to end
Set the technical vision for the website stack and CMS
Partner with brand and design on interactive experiences
We are looking for an experienced GenAI Senior Engineer to design, build, and maintain scalable, secure, and production-grade AI platforms and applications.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000-$150,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
Responsibilities
Design, develop, and maintain scalable, secure, and highly available GenAI platforms and AI-powered applications on AWS.
Architect and implement Agentic AI solutions, multi-agent systems, tool integrations, function calling, and workflow orchestration frameworks.
Design and implement enterprise-grade RAG solutions using embeddings, vector databases, semantic search, reranking, and knowledge retrieval techniques.
Build AI applications leveraging Amazon Bedrock for LLM inference, model orchestration, prompt management, and foundation model integrations.
Develop reusable AI platform components, SDKs, APIs, accelerators, and reference architectures.
Requirements
Nice to have: LangChain
Nice to have: LangGraph
Nice to have: Semantic Kernel
Associate Director / Director, Data & AI Solution Development
Solution-design leader responsible for defining and shaping Kardigan's enterprise data and AI solutions, translating business, scientific, and operational needs into well-architected solution designs, data models, and integration patterns.
Compensation
Base salary range: $175,000 – $250,000 USD, plus annual bonus and equity, commensurate with experience and location.
Responsibilities
Define and shape enterprise data and AI solutions
Own solution architecture, requirements analysis, and design for initiatives spanning data products, enterprise data management, and AI-enabled applications
Partner with Solution Delivery and Data Platform Engineering teams
Design solutions that make enterprise data usable as high-quality context for human and AI
Drive technology-enabled transformation and innovation
Requirements
Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related quantitative discipline
Nice to have: 5-7 years of experience in data engineering, solution architecture, or enterprise data/AI solution design
Nice to have: Experience in life sciences, biotechnology, or pharmaceutical environments
Nice to have: Familiarity with GxP data integrity requirements
Nice to have: Experience with data cataloging and governance tooling (Collibra, Alation, Unity Catalog)
The founding Forward Deployed Engineer role involves building AI agents and search integrations with customers, taking them to production, and partnering with engineers to refine architecture.
Locations (2)
New York, New York, United States
San Francisco, California, United States
Compensation
Base pay is $170K to $235K, depending on level. The package adds 10% to 15% variable pay and equity.
Responsibilities
Turn the customer's goal into a working flow of Search, Extract, and Web Search Agent calls, wired into the customer's own code.
Build the first version on the customer's real queries, side by side with the customer's engineer.
Define representative evaluation sets and success criteria with the customer.
Benchmark quality, latency, and cost as you iterate, and instrument production workflows to detect failures and regressions.
Write the orchestration code that keeps the flow stable in production, with fan-out, dedupe, retries, and cost caps.
Join the Agentic Acceleration Group to build and scale agentic AI capabilities on Google’s Agent Development Kit (ADK) and other enterprise agentic platforms.
Compensation
The pay range for this position is $102,000 to $169,107.50. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation.
Responsibilities
Design, build, test, and deploy production-grade AI agents using Google ADK and other agentic platforms such as the Anthropic Claude SDK and LangGraph.
Write clean, maintainable, and efficient code for agent workflows, tool integrations, and multi-agent orchestration.
Build agents that integrate with enterprise systems through tools, APIs, and Model Context Protocol (MCP) servers.
Implement custom tools, skills, and plugins that extend agent capabilities across UKG’s HCM platform.
Own execution and delivery of agent-powered features and projects.
Lead the strategy, adoption, and scalability of Artificial Intelligence across the organization, driving AI adoption, identifying high-impact use cases, and building internal AI engineering capabilities.
Responsibilities
Define and execute the local AI strategy aligned with Group vision and priorities.
Identify, prioritize, and implement AI use cases with measurable business impact.
Build and lead an internal AI Engineering and AI Product Management team.
Drive widespread AI adoption across business and technology functions.
Lead the design and development of Generative AI and Agentic AI solutions integrated into business processes and enterprise applications.
Design, develop, and deploy autonomous AI agents and related backend services
Responsibilities
Design, develop, and deploy autonomous AI agents capable of performing complex tasks, reasoning, planning, and making decisions with minimal human intervention.
Build LLM-powered applications using Python, LangChain, and other relevant AI frameworks.
Develop agentic workflows using frameworks such as LangGraph, CrewAI, and similar orchestration tools.
Implement Retrieval-Augmented Generation (RAG) pipelines to enable AI systems to retrieve, process, and generate responses using enterprise knowledge bases.
Design and implement multi-agent systems where multiple AI agents collaborate to accomplish complex tasks.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical discipline
Senior Software Engineer, AgentsEllipsis Health · New York, US
Marketing Engineer (AI Agents)Cresta · Remote, US
Associate Director / Director, Data & AI Solution DevelopmentKardigan · Princeton, US
Software Engineer III (Agentic AI)UKG · Seattle, US
Head of AI & Intelligent AutomationZurich Insurance Company Ltd. · Lisbon, Portugal