Data Scientist Architect

Data Scientist Architect (Agentic AI / Multi-Agent Systems)

Experience: 8+ Years

Work Mode: Remote

Job Summary:

We are seeking an experienced Data Scientist Architect with deep expertise in Agentic AI, Multi-Agent Systems, Generative AI, LLMs, and Enterprise AI Architecture . The ideal candidate will lead the design, development, and deployment of scalable AI solutions that deliver measurable business impact. This role requires a combination of AI research, production engineering, architecture leadership, governance, and stakeholder management skills.

The successful candidate will architect next-generation AI ecosystems leveraging autonomous agents, LLM orchestration frameworks, multimodal AI capabilities, and enterprise-grade reliability standards.

Key Responsibilities:

• Architect and deliver enterprise-scale Agentic AI and Multi-Agent solutions , leveraging GenAI, LLMs, RAG, and orchestration frameworks to solve complex business challenges.
• Design scalable AI architectures encompassing LLMOps, MLOps, workflow orchestration, model serving, monitoring, and cloud-native deployment .
• Lead the development of production-ready AI systems with a strong focus on reliability, evaluation, observability, security, and performance optimization .
• Build and operationalize multimodal AI solutions integrating text, image, audio, video, and document intelligence capabilities.
• Establish AI governance frameworks, guardrails, Responsible AI practices, and compliance standards to ensure safe and trustworthy AI adoption.
• Collaborate with business and technology stakeholders to define AI strategy, measure business impact, mentor teams, and drive enterprise-wide AI transformation initiatives.

Required Skills:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or related discipline.
• 8+ years of experience in Data Science, Machine Learning, AI Engineering, or AI Architecture.
• 3+ years of hands-on experience with Generative AI and Large Language Models.
• Strong experience designing and deploying enterprise-scale AI solutions.
• Expertise in Python and modern AI/ML ecosystems.
• Hands-on experience with:
• LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel
• Vector databases (Pinecone, Weaviate, Chroma, FAISS)
• RAG and Knowledge Graph implementations
• Azure AI, Azure OpenAI, AWS Bedrock, Vertex AI
• MLflow, Kubernetes, Docker, CI/CD pipelines
• MLOps and LLMOps frameworks

About Atain:

(http://www.atain.com)

Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Framework driving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com

Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.

It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.