Sr. AI Engineer Cloud Engineering/DevOps
We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies and Generative AI. This role involves designing, building, deploying, and monitoring production-grade AI systems within a cloud-native environment, focusing on large language models and multimodal AI solutions. The ideal candidate will have a strong command of the Google ecosystem, including Vertex AI, Google Workspace, and Google ADK, along with expertise in modern LLM/SLM frameworks and MLOps best practices.
Key Responsibilities
Designs, develops, and deploys Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks.
Architects and implements SLM-based solutions using lightweight models like Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments.
Leads fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA.
Applies training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development.
Generates synthetic data and evaluates models using HELM, lm-evaluation-harness, and custom benchmarks.
Designs and implements AI-powered solutions integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), BigQuery, and Lakehouse.
Architects and builds intelligent agents and workflows using Google ADK.
Utilizes Google Cloud Platform services including Vertex AI, GKE, Cloud Run, Cloud Functions, and Vertex AI Vector DBs for semantic search and retrieval.
Required Qualifications
10–15 years of overall software engineering experience.
5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems.
Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations.
Proficiency in Python; familiarity with Node.js.
Strong background in cloud-native development on GCP.
Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks.
Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices.
Experience with multi-agent AI architectures using Semantic Kernel or LangGraph.
Preferred Qualifications
Google Cloud Professional certifications (e.g., Professional ML Engineer, Professional Cloud Architect).
Contributions to open-source AI/ML projects.
Experience with edge AI deployments and hybrid cloud-edge inference.
Familiarity with synthetic data generation pipelines.
Prior experience mentoring junior engineers or interns in AI/ML domains.
Delphi-US is a national IT Services firm based in Newport, Rhode Island. Delphi attracts our nation's best and brightest Technical & Professional Talent and positions our nation's finest employers to further their competitive advantages. Delphi's core technical focus includes Data Sciences & Analytics, Modern AI/ML Model Monetization, Cloud Engineering, Cyber Security, ERP Rescue; serving domains from sensitive national energy sectors to critical financial services, biomed, lifesciences & pharma, major government & municipal institutions, and much of the USA's Fortune 500 corporations. Delphi Associates are deployed on critical IT Projects where their consultative business acumen, comprehensive technical expertise, and committed service mission drives our client's success. Our proprietary skill-based and cultural matching process results in higher qualified project teams, custom curated for our client's specific technical & functional goals. We are supremely experienced, friendly, professional, and ready to advocate on your behalf. Delphi has an indelible understanding of employer expectations, a track record of project success and we deliver lasting results. 6122