Gcp Ai

Gcp Ai Engineer Jobs

2 jobs found

1d ago

GenAI Lead / GCP AI Engineer Lead

Capgemini New York, NY

New York, NY

1d ago

$105k - $115k/yr Full time Backend Developer Manager Agentic Ai

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Job Description

Capgemini is seeking a GenAI Lead / GCP AI Engineer Lead to build and productionize Google Cloud based GenAI solutions for insurance clients.

Responsibilities

Build GenAI applications using Gemini models on the Gemini Enterprise Agent Platform (Vertex AI).
Design and tune prompts for insurance document use cases using structured outputs and function calling (submissions, ACORD forms, COIs, loss runs, policies).
Develop RAG pipelines including chunking, embeddings, Vector Search / Vertex AI Search, and grounding with citations.
Create and deploy agents using Agent Development Kit (ADK) on Agent Engine, integrating tools and APIs.
Extract and classify documents with Document AI using Gemini multimodal input.
Ship services on Cloud Run or GKE, expose through Apigee, and implement CI/CD in Cloud Build.
Move and manage data using BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
Define evaluation sets and run quality, latency, and cost checks using Gen AI evaluation service and golden datasets.
Apply guardrails including PII masking via Sensitive Data Protection (DLP), safety filters, and IAM least privilege.
Collaborate in Agile sprints with QA, UI, and data teams; write clean, tested, documented code.

Requirements

Strong Python experience with FastAPI or Flask, including async development and pytest testing.
Hands-on experience with the Gemini API and/or Vertex AI SDK, or the Google Gen AI SDK.
RAG architecture experience plus at least one vector store such as Vector Search, AlloyDB pgvector, or BigQuery vector search.
LLM framework experience using ADK, LangChain, or LangGraph.
Core GCP capabilities including Cloud Run, Cloud Functions, Cloud Storage, BigQuery, IAM, and Secret Manager.
REST API design, Git, Docker, and CI/CD.
Good written and verbal communication with onsite and client teams.

Technologies

Python, FastAPI, Flask, pytest
Gemini API, Vertex AI SDK, Google Gen AI SDK
Gemini Enterprise Agent Platform (Vertex AI), Agent Development Kit (ADK), Agent Engine
Document AI, Gemini multimodal input
Cloud Run, GKE, Apigee, Cloud Build
BigQuery, Cloud Storage, Pub/Sub, Dataflow
Sensitive Data Protection (DLP), IAM, Cloud Functions, Secret Manager
REST API, Git, Docker
Vector Search, Vertex AI Search, AlloyDB pgvector, BigQuery vector search
LangChain, LangGraph
Gen AI evaluation service, CI/CD, Terraform, Looker, Looker Studio
Model Context Protocol (MCP), Agent2Agent (A2A) protocol

Location

Hartford, CT (onsite)

Salary

USD 105,000 - 115,000 per year (base)

Benefits

Paid time off based on employee grade (A-F) per policy: Vacation: 12-25 days depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Nice to Have

Insurance domain experience (P&C, E&S, specialty, workers' comp) or financial services
Document AI custom extractors; OCR on scanned or handwritten forms
Agent2Agent (A2A) protocol or Model Context Protocol (MCP) tool integration
Model tuning (supervised fine-tuning on Gemini) and model monitoring
Terraform; Looker or Looker Studio dashboards

Certifications (Preferred)

Google Cloud Professional Machine Learning Engineer
Google Cloud Associate Cloud Engineer or Professional Cloud Developer
Google Cloud Generative AI Leader (good to have)

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2d ago

Mid-Level Full-Stack AI Engineer

CGI Group, Inc. Knoxville, TN

Knoxville, TN

2d ago

$80k - $110k/yr Full time Backend Developer Manager AI

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Job Description

CGI is hiring a Mid-Level Full-Stack AI Engineer to lead end-to-end delivery of scalable, production-ready AI solutions.

Responsibilities

Lead design, development, and deployment of end-to-end AI-powered applications including backend services, APIs, data pipelines, model integrations, and user-facing interfaces
Architect, build, and maintain scalable, secure, high-performance backend services using Python; develop responsive frontend applications using Angular
Design and implement AI capabilities including generative AI, LLMs, NLP, document classification, OCR, and conversational AI
Own machine learning efforts across inference, training, fine-tuning, and optimization to support reliable production performance
Develop and optimize RESTful APIs, system integrations, and database solutions for interoperability, performance, and scalable AI platform components
Implement and maintain CI/CD pipelines and containerized deployments using Docker, Kubernetes, and cloud technologies
Collaborate with product managers, data scientists, UI/UX designers, and engineering teams to translate business requirements into technical designs and AI-driven features
Drive client-focused AI use cases using CGI’s AI Platform, from solution design through production deployment
Monitor, troubleshoot, and optimize production systems to ensure availability, security, reliability, performance, and operational efficiency
Mentor junior engineers; participate in architecture and design reviews; provide technical guidance and promote software engineering best practices

Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline, or equivalent practical experience
2+ years of professional full-stack development experience with strong Python backend skills and Angular frontend skills
2+ years hands-on experience building AI-powered products involving generative AI, NLP, document classification, chatbots, OCR, or related intelligent automation technologies
Demonstrated experience with machine learning concepts, LLM inference, model integration, and deployment of AI-enabled applications
Strong experience designing and developing RESTful APIs and applying system design and architecture principles for distributed components
Hands-on experience with Docker, Kubernetes, and container orchestration concepts, including production deployment and management
Proficiency with relational and non-relational databases, including design, querying, and performance optimization
Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP) to develop, deploy, manage, and scale AI applications
Knowledge of secure software development practices, data privacy regulations, compliance requirements, and responsible AI principles
Strong analytical, troubleshooting, communication, and collaboration skills, including ownership of technical deliverables and ability to guide junior team members

Technologies

Python, Angular
Machine learning, generative AI, large language model (LLM), NLP
Document classification, optical character recognition (OCR), conversational AI
RESTful APIs, CI/CD, Docker, Kubernetes
Relational databases, non-relational databases
Microsoft Azure, Google Cloud Platform (GCP)
LangChain, Hugging Face
Retrieval-augmented generation (RAG), vector databases, embeddings, prompt engineering
AI agent architectures, MLOps
GitHub Actions, Azure DevOps
Microsoft Azure AI services, Google Cloud AI services

Desired Qualifications / Strongly Preferred

Experience building production-grade applications using LLM frameworks, orchestration libraries, or AI development tools such as LangChain, Hugging Face, or similar
Hands-on experience implementing retrieval-augmented generation (RAG), vector databases, embeddings, prompt engineering, or AI agent architectures
Experience with model fine-tuning, model evaluation, MLOps practices, and monitoring AI models in production
Experience building and maintaining automated CI/CD pipelines, testing frameworks, and deployment workflows using GitHub Actions, Azure DevOps, or similar tools
Experience designing and deploying AI-powered solutions using Microsoft Azure AI services, Google Cloud AI services, or related cloud-native AI technologies
Demonstrated experience leading technical feature development, mentoring engineers, contributing to architectural decisions, and delivering customer-focused AI solutions

Location

Knoxville, TN (onsite)
May be based in any CGI office in the United States, with Knoxville, TN as the preferred location

Compensation

USD 79,600 - 109,500 per yearly
CGI provides a reasonable estimate of compensation range; actual compensation depends on factors including skill set, level, experience, relevant training, and licensure and certifications

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well being programs

Eligibility / Contingencies

Employment offers in the U.S. are contingent upon successfully completing a background investigation
Depending on role and/or federal government security clearance requirements, background investigations may include a credit check
CGI considers qualified applicants with arrest and conviction records in accordance with local regulations and ordinances

Equal Opportunity / Accommodation

CGI provides consideration for employment without regard to protected characteristics
Reasonable accommodations are provided to qualified individuals with disabilities
If you need an accommodation to apply in the U.S., email US_Employment_Compliance@cgi.com and reference the Position ID

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Gcp Ai Engineer Jobs

GenAI Lead / GCP AI Engineer Lead

Mid-Level Full-Stack AI Engineer

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