Systems Integration Specialist Advisor
Job Description
Req ID:
\nWe are currently seeking a Systems Integration Specialist Advisor to join our team in Bangalore, Uttar Pradesh (IN-UP), India (IN).
\nAI Architect with Machine Learning
\nPAN India (Remote)
\nNotice: 30 Days
\nThe AI Architect will design and build agentic AI systems for multiple Domains such as Healthcare/ Finance/ Retail etc.
\nYou will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.
\nKey Responsibilities
\n- Design and implement agent-based AI workflows for different domains such as:healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation) \n
- Design agentic AI architectures for manufacturing workflows \n
- Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents) \n
- Implement RAG over financial documents, policies, contracts, and filings \n
- Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration) \n
- Develop classical ML models (risk scoring, prediction, clustering, anomaly detection) \n
- Implement HIPAA aware AI architectures with auditability and traceability \n
- Implement GenAI systems using RAG over CRM, customer data, and content \n
- Build full-stack applications (Python APIs, AI services, UI dashboards) \n
- Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred) \n
- Integrate LLMs with sensor data, MES, ERP, and IoT platforms \n
- Collaborate with SMEs to translate medical workflows into agent logic \n
- Deploy, monitor, and optimize AI systems in Azure \n
- 8+ years’ experience using Python-based AI systems \n
- 8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering) \n
- Experience with traditional ML (classification, regression, NLP, time-series) \n
- Full-stack experience (API design + UI integration) - 5+ Years \n
- Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years \n
- Experience working in regulated or compliance-heavy domains \n
- Comfortable working with subject-matter experts \n
- Strong learning mindset and adaptability \n
- Experience building production AI systems, not just prototypes \n
- Ability to explain AI decisions to non-technical stakeholders \n
- Interest in Agentic AI and next-generation AI architecture \n
- Degree: Bachelor’s in computer science or equivalent work experience \n
- Multiple Domain Experience \n
- AWS, GCP, or NVIDIA AI stack experience \n
- Knowledge of model governance and explainability \n
- Experience with document intelligence pipelines \n
Basic Qualifications:
\nAdditional Desired Qualifications (Not required):
\nAbout NTT DATA
\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.