AI (GenAI) Engineer

Job Title: AI (GenAI) Engineer
Job Location: Palo Alto, CA | On-site (5 days/week)
Work Mode: Onsite
Duration: 6 Months (with possible extension based on business needs)

Description

We are seeking an experienced AI (GenAI) Engineer to design, build, and operate production-grade Generative AI solutions that accelerate data-driven decision-making and operational excellence. This role partners closely with Data Engineering, Platform, Security, and Domain SMEs to deliver scalable, secure, and high-impact AI applications. The ideal candidate brings a strong engineering mindset, hands-on GenAI expertise, and the ability to translate complex domain challenges into actionable, AI-powered solutions.

Job Responsibilities

• Build, deploy, and operate GenAI-powered tools such as intelligent assistants, KPI summaries, anomaly explanations, and recommended actions with traceable citations.
• Design and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines, including document preparation, embeddings, vector search, re-ranking, grounding, and safety guardrails.
• Productionize AI solutions with CI/CD pipelines, automated testing, monitoring, alerting, and defined SLOs for accuracy, latency, grounding, and cost.
• Implement evaluation frameworks for offline and online assessments, including golden datasets, human-in-the-loop reviews, and drift detection.
• Integrate GenAI solutions with enterprise systems such as telemetry platforms, alarms, ticketing systems, APIs, runbooks, and dashboards to enable closed-loop remediation.
• Collaborate cross-functionally with data engineers, platform and security teams, and subject matter experts to take use cases from discovery through production and continuous improvement.
• Apply strong operational practices, including logging, observability, troubleshooting, security controls, and cost optimization.

Required Skills & Experience

• Bachelor s or Master s degree in Computer Science, Electrical Engineering, Data Science, or a related technical field, or equivalent practical experience.
• 3 5 years of experience in AI/ML engineering, data engineering, or applied data science delivering production-grade solutions.
• Strong proficiency in Python and SQL, with experience handling large-scale telemetry or time-series datasets.
• Hands-on experience with Azure-based data and AI services, including:
• Azure Machine Learning and Azure AI Services / Azure OpenAI
• Azure Databricks / Spark and lakehouse architectures
• Azure Data Lake Storage or Blob Storage
• Azure Functions or serverless compute solutions
• Azure DevOps, Git, and automated testing frameworks
• Solid understanding of GenAI development patterns, including RAG architectures, prompt engineering, structured outputs, and evaluation fundamentals.
• Strong production mindset with experience in monitoring, observability, security best practices, and operational readiness.

Domain Experience (RAN & Mobility)

• Strong understanding of 4G/5G RAN and mobility concepts such as handovers, drops, throughput, congestion, interference, and signal quality metrics (RSRP, RSRQ, SINR).
• Ability to translate network challenges into measurable KPIs, investigative workflows, and actionable remediation recommendations.

Preferred Skills & Experience

• Experience building internal AI assistants or copilots for operations, triage, or root-cause analysis with evidence-based outputs.
• Familiarity with agentic workflows, orchestration, and multi-step AI pipelines.
• Experience with MLOps/LLMOps practices, including CI/CD, model and prompt versioning, automated evaluations, and cost controls.
• Deep knowledge of the Azure ecosystem, including Azure AI Search, Event Hubs, Data Factory/Synapse, AKS, and containerized deployments.
• Experience with GenAI frameworks such as Semantic Kernel, LangChain, or LlamaIndex, and tools like MLflow or vector databases.
• Understanding of telecom standards (3GPP) and vendor-specific tooling.
• Relevant Azure certifications (Azure AI Engineer Associate preferred).

Why You ll Love This Role

• Work on cutting-edge GenAI solutions with real-world, high-impact applications.
• Collaborate with cross-functional experts to solve complex, domain-specific challenges.
• Influence the design and adoption of enterprise-scale AI platforms and best practices.
• Be part of an innovative, fast-paced environment focused on measurable business and operational outcomes.

AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 2,200 staff across offices. AgreeYa works with 500+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public sector, Pharma & Biotech, and others.

AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status or other protected characteristics.