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Evinova · 1 day ago

Generative AI Cloud Operations Engineer - Evinova

Gaithersburg, MD

Full-time

Hybrid

Entry, Mid Level

$135K/yr - $202K/yr

2+ years exp

Evinova, a global health tech business under AstraZeneca, is focused on transforming patient care through technology and innovation. The Generative AI Cloud Operations Engineer will lead the development and management of AI operations systems for clinical trial optimization, collaborating closely with AI Engineers to transition projects into production-grade capabilities.

AppsArtificial Intelligence (AI)Health CareSaaSSoftwareTask Management

H1B Sponsor Likely

Responsibilities

Drive the creation of proactive capability and process enhancements that ensures enduring value creation and analytic compounding interest

Design and implement resilient cloud Genereative AI agent operational capabilities to maximize our system A-bilities (Learnability, Flexibility, Extendibility, Interoperability, Scalability)

Drive precision and systemic cost efficiency, optimized system performance, and risk mitigation with a data-driven strategy, comprehensive analytics, and predictive capabilities at the tree-and-forest level of our Generative AI-based systems, workloads and processes

Develop and manage GenAI Ops systems for clinical trial design, planning and operational optimization

Integrate LLM proxies/routers including LiteLLM Proxy/Router or other solutions

Ensure proper RAG pipeline optimization and scaling

Integration of token usage, latency, response quality, and hallucination detection tools at a platform level

Partner closely with AI Engineers and data scientists to shepherd projects from embryonic research stages into production-grade agentic Generative AI capabilities

Leverage and teach modern tools, libraries, frameworks and best practices to design, validate, deploy and monitor Generative AI agents in production (including LangChain, LangGraph, Google ADK, Langfuse, DSPy, Arize Phoenix, Pinecone, Weaviate, Splunk, Grafana, Prometheus, Xray, and more)

Enhance system scalability, reliability, and performance through effective infrastructure and process management

Ensure that any prediction we make is backed by deep exploratory data analysis and evidence, interpretable, explainable, safe, and actionable

Leverage Vertex AI, Azure Foundry, OpenAI, Anthropic, and other foundation model platforms to provide reliable and stable access to LLMs

Qualification

Generative AI deploymentAWS infrastructurePython/TypeScriptML/AI operationsData Science LifecycleContainerization technologiesFrameworks for GenAICollaborationCommunication skillsDetail-oriented

Required

HS Diploma or GED

Minimum of 2 years deploying and maintaining Generative AI agents or GenAI-based workflows/applications in production

Deep understanding of challenges in deploying Generative AI applications and agents

Closely follows frontier developments in Generative AI and GenAI tooling, techniques, and technologies

Deep understanding of the Data Science Lifecycle (DSLC) and the ability to shepherd data science projects from inception to production within the platform architecture

Expert in evals tools for LLMs using tools such as Arize Phoenix, Langfuse, Braintrust, Freeplay, or similar

Expert in CDK for python and/or TypeScript

Strong software engineering abilities in Python/TypeScript

Expert in AWS services and containerization technologies like Docker and Kubernetes

Experience deploying GenAI agents using frameworks such as LangChain, LangGraph, LlamaIndex, Google ADK, or Strands Agents

Ability to collaborate effectively with engineering, design, product, and science teams

Strong written and verbal communication skills for reporting and documentation

Proven track record of deploying algorithms and machine learning models into production environments

Demonstrated ability to work closely with cross-functional teams, particularly data scientists

Benefits

Short-term incentive bonus opportunity

Equity-based long-term incentive program (salaried roles)

Retirement contribution (hourly roles)

Commission payment eligibility (sales roles)

Qualified retirement program [401(k) plan]

Paid vacation and holidays

Paid leaves

Health benefits including medical, prescription drug, dental, and vision coverage

Company

Evinova

Evinova delivers digital tools for clinical trials, including patient apps, site portals, eConsent, eCOA, telemedicine, and data integration

Founded in 2023

Baar, Zug, CHE

201-500 employees

https://evinova.com

H1B Sponsorship

Evinova has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (1)