Generative AI Architect
Apply NowCompany: Tata Consultancy Services
Location: Atlanta, GA 30349
Description:
Must Have Technical/Functional Skills
Experience Required
Roles & Responsibilities
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#LI-RJ2
SalaryRange - $100,000-$160,000 a year
- Hands-onexperience in designing and deploying AI-powered agents,multi-agent architectures, or autonomous systems.
- Expertisein Large Language Models (LLMs) such as GPT, BERT, Llama, Gemini, and theirdeployment at scale.
- Proficiencyin AI frameworks like AutoGen/AG2, TensorFlow, PyTorch, Hugging Face,LangChain, and RAG-based architectures.
- Strongknowledge of retrieval-augmented generation (RAG), vector databases (Azure AISearch, Pinecone, FAISS, Chroma), and prompt engineering techniques.
- Experiencewith cloud AI services (Azure OpenAI, Google Vertex AI) and containerizeddeployment using Docker, Kubernetes.
- Strongbackground in API-driven development, microservices, and event-drivenarchitectures.
- Experiencewith MLOps, CI/CD pipelines, monitoring AI models in production, andfine-tuning custom AI models.
- Abilityto work with unstructured data, embeddings, and knowledge graphs for AI-driveninsights.
- Excellentproblem-solving, analytical, and communication skills to work effectively withtechnical and non-technical teams.
Experience Required
- Experience with AI orchestration/agents frameworks,including AG2, CrewAI, AutoGPT, and AgentOps.
- Familiarity with Multi-modal AI models (text, image,video, audio) and AI personalization techniques. Knowledge of Responsible AIprinciples, including bias mitigation, explainability, and data privacyregulations.
- Advanced academic background (PhD/Master's) in AI,ML, Data Science, or a related field
Roles & Responsibilities
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- Define & Design AI Architectures: Establishscalable, modular, and efficient architectures for AI agents, LLM-basedapplications, and generative AI models.
- Hands-on AI Development: Implement and optimizegenerative AI models, leveraging frameworks such as OpenAI, LangChain,LlamaIndex, AutoGen or AG2, RAG, and multi-agent systems.
- AI Integration & Deployment: Work with cloud AIplatforms( Azure, GCP) and implement best practices for MLOps, model serving,and continuous improvement.
- Enterprise AI Strategy: Align AI-driven solutionswith business objectives, ensuring scalability, security, andcost-effectiveness.
- Cross-functional Collaboration: Engage with productteams, data scientists, and engineering teams to ensure seamless integration ofAI-powered solutions into business workflows.
- AI Governance & Ethics: Establish responsible AIpractices, ensuring compliance with data privacy, model bias mitigation, andsecurity best practices.
- Evaluation & Optimization: Continuously assessAI agent performance and optimize architectures for speed, efficiency, andcost-effectiveness
#LI-RJ2
SalaryRange - $100,000-$160,000 a year