Genai / Ai Platform Architect jobs at Boston Scientific in India, Gurugram

India-Haryana, Gurgaon

Your responsibilities will include:

• Own the reference architecture for GenAI: LLM hosting, vector DBs, orchestration layer, real‑time inference, and evaluation pipelines.
• Design and govern Retrieval‑Augmented Generation (RAG) pipelines—embedding generation, indexing, hybrid retrieval, and prompt assembly—for authoritative, auditable answers.
• Select and integrate toolchains (LangChain, LangGraph, LlamaIndex, MLflow, Kubeflow, Airflow) and ensure compatibility with cloud GenAI services (Azure OpenAI, Amazon Bedrock, Vertex AI).
• Implement MLOps / LLMOps: automated CI/CD for model fine‑tuning, evaluation, rollback, and blue‑green deployments; integrate model‑performance monitoring and drift detection.
• Embed “shift‑left” security and responsible‑AI guardrails—PII redaction, model‑output moderation, lineage logging, bias checks, and policy‑based access controls—working closely with CISO and compliance teams.
• Optimize cost‑to‑serve through dynamic model routing, context‑window compression, and GPU / Inferentia auto‑scaling; publish charge‑back dashboards for business units.
• Mentor solution teams on prompt engineering, agentic patterns (ReAct, CrewAI), and multi‑modal model integration (vision, structured data).
• Establish evaluation frameworks (e.g., LangSmith, custom BLEU/ROUGE/BERT‑Score pipelines, human‑in‑the‑loop) to track relevance, hallucination, toxicity, latency, and carbon footprint.
• Report KPIs (MTTR for model incidents, adoption growth, cost per 1k tokens) and iterate roadmap in partnership with product, data, and infrastructure leads.

Required Qualifications:

• 10+ years designing cloud‑native platforms or AI/ML systems; 3+ years leading large‑scale GenAI, LLM, or RAG initiatives.
• Deep knowledge of LLM internals, fine‑tuning, RLHF, and agentic orchestration patterns (ReAct, Chain‑of‑Thought, LangGraph).
• Proven delivery on vector‑database architectures (Pinecone, Weaviate, FAISS, pgvector, Milvus) and semantic search optimization.
• Mastery of Python and API engineering; hands‑on with LangChain, LlamaIndex, FastAPI, GraphQL, gRPC.
• Strong background in security, governance, and observability across distributed AI services (IAM, KMS, audit trails, OpenTelemetry).

Preferred Qualifications:

• Certifications: AWS Certified GenAI Engineer – Bedrock or Microsoft Azure AI Engineer Associate.
• Experience orchestrating multimodal models (images, video, audio) and streaming inference on edge devices or medical sensors.
• Published contributions to open‑source GenAI frameworks or white‑papers on responsible‑AI design.
• Familiarity with FDA or HIPAA compliance for AI solutions in healthcare.
• Demonstrated ability to influence executive stakeholders and lead cross‑functional tiger teams in a fast‑moving AI market.

India-Haryana, Gurgaon

Your responsibilities will include:

• Develop and execute comprehensive test plans for AI/ML features including chatbots, recommendation engines, RAG search, and copilots.
• Design and maintain automation frameworks (Selenium, Cypress, Playwright, PyTest) for UI, API, and model‑level testing.
• Implement evaluation harnesses using LangSmith, RAGAS, LangTest, and custom scripts to score relevance, hallucination, fairness, and toxicity.
• Validate RAG pipelines end‑to‑end: embeddings, retrieval quality, prompt integrity, and response grounding.
• Monitor post‑deployment AI performance for drift, regression, and latency; partner with MLOps teams to triage incidents.
• Collaborate with product managers, data scientists, and engineers to define expected outcomes and edge‑case scenarios.
• Document test results, file defects, and drive root‑cause analysis to closure.

Required Qualifications:

• 6+ years of software quality assurance or test‑automation experience, including AI/ML products.
• Proficiency in Python or JavaScript and experience with RESTful API testing (Postman, Swagger).
• Hands‑on with automation tools such as Selenium, Cypress, Playwright, or PyTest.
• Knowledge of LLM evaluation frameworks (LangSmith, RAGAS) and vector database APIs.
• Strong foundation in QA processes: test planning, regression testing, CI/CD integration, and defect lifecycle management.

Preferred Qualifications:

• Experience testing RAG or agentic AI workflows at scale.
• Familiarity with monitoring solutions for model drift and data drift (Vertex AI, Azure Monitor, Fiddler).
• Exposure to ethical‑AI or bias‑testing methodologies.
• Background in healthcare or other regulated domains.

India-Haryana, Gurgaon

Senior Engineer - Agentic AI

Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and deliver cutting‑edge solutions. As a Principal / Senior Engineer – Agentic AI, you will architect and deliver autonomous, goal‑driven agents powered by large language models (LLMs) and multi‑agent frameworks.

Your responsibilities will include:

• Design and implement agentic AI systems leveraging LLMs for reasoning, multi‑step planning, and tool execution.
• Evaluate and build upon multi‑agent frameworks such as LangGraph, AutoGen, and CrewAI to coordinate distributed problem‑solving agents.
• Develop context‑handling, memory, and API‑integration layers enabling agents to interact reliably with internal services and third‑party tools.
• Create feedback‑loop and evaluation pipelines (LangSmith, RAGAS, custom metrics) that measure factual grounding, safety, and latency.
• Own backend services that scale agent workloads, optimize GPU / accelerator utilization, and enforce cost governance.
• Embed observability, drift monitoring, and alignment guardrails throughout the agent lifecycle.
• Collaborate with research, product, and security teams to translate emerging agentic patterns into production‑ready capabilities.
• Mentor engineers on prompt engineering, tool‑use chains, and best practices for agent deployment in regulated environments.

Required Qualifications:

• 8+ years of software engineering experience, including 3+ years building AI/ML or NLP systems.
• Expertise in Python and modern LLM APIs (OpenAI, Anthropic, etc.), plus agentic orchestration frameworks (LangGraph, AutoGen, CrewAI, LangChain, LlamaIndex).
• Proven delivery of agentic systems or LLM‑powered applications that invoke external APIs or tools.
• Deep knowledge of vector databases (Azure AI Search, Weaviate, Pinecone, FAISS, pgvector) and Retrieval‑Augmented Generation (RAG) pipelines.
• Hands‑on experience with LLMOps: CI/CD for fine‑tuning, model versioning, performance monitoring, and drift detection.
• Strong background in cloud‑native micro‑services, security, and observability.

Preferred Qualifications:

• Experience integrating multimodal agents (vision, audio) and reinforcement‑learning feedback loops. • Contributions to open‑source agent frameworks or white papers on autonomous AI.
• Certifications in cloud GenAI services (AWS Bedrock, Azure OpenAI).
• Domain knowledge of healthcare, cybersecurity, or other regulated industries.

India-Haryana, Gurgaon

We are seeking a skilled GenAI Technical Lead to drive the implementation and optimization of AI solutions based on Agentforce and python, integrating AI-driven capabilities to enhance customer and agent experiences. This role requires expertise in Salesforce development, architecture, and AI technologies to lead strategic initiatives and ensure seamless system performance. You will be responsible for driving AI adoption for our commercial users.

Key Responsibilities:

• Design, develop, and implement Salesforce Agentforce solutions with best practices and scalability.
• Integrate Einstein AI, python based GenAI solutions, chatbots, and predictive analytics to enhance automation and decision-making.
• Collaborate with business stakeholders and cross-functional teams to define roadmaps and technical solutions.
• Develop and maintain Apex, LWC, Visualforce, SOQL, GraphQL and REST/SOAP integrations.
• Optimize Agentforce flows, automations, and knowledge management for enhanced productivity.
• Lead a team of Salesforce developers, admins, and AI specialists.
• Should be able to quickly develop POC project(s) or develop prototype.
• Evaluate the performance of generative Al models & solutions and make necessary adjustments to improve the performance.
• Ensure data security, compliance, and governance.
• Monitor system performance and implement improvements.
• Stay updated with Salesforce and AI trends.

Minimum Qualifications:

• 7 to 11 years of Salesforce development/architecture experience, focusing on Agentforce, Sales Cloud, Service Cloud, and AI-driven capabilities with the background of Btech.
• Experience with Salesforce AI tools like Einstein Analytics and Bots.
• Expertise in Apex, LWC, SOQL, REST/SOAP APIs, and integration patterns.
• Strong understanding of Salesforce data modeling, security, and governance.
• Experience with CI/CD, DevOps tools, Git, and Salesforce CLI.
• Salesforce certifications (Platform Developer 1 and 2, JavaScript Developer 1, Integrations Architect, AI Associate/Specialist, Sales Cloud Consultant, Service Cloud Consultant) preferred.
• Proficiency in programming languages such as Python, R & JAVA.
• Good understanding of Agentic AI and RAG (Retrieval Augmented Generation)
• Familiarity with popular Python AI frameworks and tools (e.g., LangChain, LlamaIndex).

Good to have -

• Strong knowledge of AI technologies, including machine learning, natural language processing, computer vision, etc.
• Hands on experience in architecture, design, implementation, and/or support of modern Data & AI solutions, experience of working with different LLM providers.
• Excellent problem-solving, communication, and leadership skills.
• Experience with Agile/Scrum methodologies.
• Excellent Presentation skills

India-Maharashtra, Pune

Key Responsibilities:

• Design and implement SAP solutions that support finance and controlling processes, with a focus on product costing.
• Collaborate with business stakeholders to understand their needs and translate them into technical solutions.
• Lead the development and maintenance of the SAP architecture for FI/CO and product costing, ensuring integration with other business processes and systems.
• Provide technical guidance and support to project teams, ensuring successful delivery of SAP projects related to FI/CO and product costing.
• Conduct regular assessments of the SAP architecture to identify areas for improvement and implement necessary changes.
• Stay updated with the latest trends and technologies in SAP FI/CO and product costing to ensure the organization remains competitive.
• Develop and maintain documentation related to SAP architecture and product costing processes.

Qualifications:

• Bachelor's degree in Information Technology, Computer Science, Finance, or a related field.
• Minimum of 10 years of experience working with SAP Finance (FI) and Controlling (CO) modules.
• Proven experience in designing and implementing SAP solutions for product costing processes.
• Strong understanding of product costing principles and methodologies.
• Experience with SAP S/4HANA and SAP ECC product costing components is highly preferred.
• Excellent problem-solving skills and the ability to diagnose and resolve technical issues.
• Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
• Experience with project management and the ability to lead multiple project activities simultaneously.

Preferred Qualifications:

• Experience with SAP S/4HANA and SAP ECC
• Knowledge of US GAAP, IFRS, and SOX requirements.
• Familiarity with SAP FI/CO integration with other SAP modules such as MM, SD, and PP.
• Knowledge of manufacturing processes and cost management.
• Strong leadership and team management abilities.