Associate AI Engineer, OI&A

Location: US - California - Thousand Oaks

Annual salary: USD 81,466.55–110,219.45

Company

hirify.global develops treatments and supports healthcare and life sciences operations through data, technology, and scientific innovation.

What you will do

• Lead discovery of business workflows, users, outcomes, data readiness, dependencies, and production requirements.
• Design executable technical solutions, delivery plans, workstreams, milestones, risks, acceptance criteria, and release approaches.
• Build and review production components including AI-enabled applications, RAG solutions, bounded agents, intelligent automation, APIs, and integrations.
• Define architecture across applications, workflows, data and knowledge pipelines, models, retrieval, agents, identity, access controls, and observability.
• Coordinate full-stack engineering, AI engineering, data science, testing, platform, security, compliance, and business stakeholders.
• Establish AI evaluation, governance, CI/CD, monitoring, staged releases, rollback, recovery, and production transition practices.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or a diploma with 2+ years of relevant experience.
• Strong hands-on proficiency in Python and SQL, with experience reviewing or designing production software, APIs, data flows, evaluation pipelines, and enterprise integrations.
• Experience with enterprise solution architecture, applied AI/ML, GenAI, foundation-model integration, prompt and context management, RAG, structured output, provenance, and human control.
• Knowledge of cloud-native services, containers, CI/CD, infrastructure as code, observability, SLOs, staged releases, rollback, incidents, disaster recovery, MLOps, or LLMOps.
• Advanced capability in at least one role-defining area: applied AI/ML, GenAI/RAG/agents, full-stack and integration engineering, or AI platform/MLOps.
• Ability to translate complex business problems into technical designs, delivery plans, acceptance criteria, and production-readiness evidence while coordinating multidisciplinary teams.

Nice to have

• Experience with Databricks, AWS, Spark, LLMs, and agentic development solutions.
• Experience in life sciences, healthcare, payor, or pharmaceutical environments.
• Knowledge of hybrid or graph retrieval, knowledge graphs, source verification, MCP-style integration, multi-agent workflows, policy enforcement, and adversarial testing.

Culture & Benefits

• Collaborative technology operations and data enablement environment supporting commercial and non-commercial functions.
• Health, dental, and vision coverage, life and disability insurance, and flexible spending accounts.
• Retirement and savings plan with company contributions.
• Discretionary annual bonus program and stock-based long-term incentives.
• Award-winning time-off plans and career development opportunities.
• Flexible work models where applicable to the stated work location type.