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Capgemini
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AI Engineer, Solution Architecture

AI Engineer, Solution Architecture

Capgemini

6 - 9 years

15 - 30 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

artificial intelligence ai algorithms ai solutions machine learning aws python

Work Mode

Hybrid

Job Type

Full Time

Job Description

Our team supports business areas in Corporate Functions and with enterprise architecture group to design and implement Agentic AI solutions for business applications. This role will enable business teams to accelerate AI adoption and deliver innovative, scalable solutions that drive operational efficiency and smarter decision-making across functions such as Finance, Real Estate Investment, Enterprise Risk Management, Legal, and Marketing. As an AI Engineer, you will play a significant role in building AI-powered applications and collaborating with architecture teams to design next-generation Agentic AI frameworks.

Key Responsibilities

Design and develop AI applications leveraging GCP and AWS Generative AI platforms.
Collaborate with Enterprise Architecture to design Agentic AI solutions for business applications.
Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.
Explore new services and capabilities in AWS and Google Cloud Platform to support GenAI and ML services.
Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.
Develop and promote best practices in AI, ML, and data engineering across teams.
Architect and design end-to-end solutions at a component level.
Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.
Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.
Provide technical mentorship and career growth opportunities for team members.
Review work of systems-level engineers to calibrate deliverables against project and business expectations.

Required Skills

8+ years building and shipping software and/or platform solutions for enterprises.
3+ years of experience with Terraform.
Demonstrated hands-on experience with Google Cloud Platform (GCP) and AWS cloud.
Demonstrated hands-on experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker.
Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
Experience building scalable serverless applications (real-time/batch) using cloud technologies.
Knowledge of distributed NoSQL database systems and data engineering, ETL technology.
Experience with IR, vector embedding, and Hybrid/Semantic search technologies.
Foundational understanding of Natural Language Processing and Deep Learning.
Excellent problem-solving skills and the ability to work in a collaborative team environment.
Excellent communication skills.

Nice to Have Skills

Programming experience with Python is preferred.
Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.
Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
Experience with Agentic AI frameworks and orchestration tools such as LangChain, LlamaIndex, LangGraph, Google Agent Development Kit is a plus.
Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.

What We Offer

Opportunity to work on advanced cloud automation and AI technologies.
Collaborative and innovative work environment.
Competitive compensation and comprehensive benefits.
Continuous learning and professional development opportunities.

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AI Engineer, Solution Architecture