Senior Engineer - Agentic Ai jobs at Boston Scientific in India, Gurugram

About the role: Senior KAM

We are seeking an accomplished Key Account Professional to oversee and strengthen relationships with our most significant clients—namely, hospital groups responsible for the highest proportion of private sector revenue. The successful candidate will excel at cultivating robust partnerships with strategic customers, identifying organizational needs, and aligning them with the company’s solutions to ensure mutual success. As the primary point of contact for key accounts, this individual will proactively anticipate client requirements, coordinate internal resources to meet deadlines, and contribute to client achievement. The overarching objective is to sustain and expand our business for long-term growth by:

• Acquiring and maintaining enduring relationships with key customers through a comprehensive understanding of their requirements.
• Building and leveraging relationships with influential clinical, administrative, and financial decision-makers (including CXOs) within targeted organizations.
• Designing and executing effective partnership solutions and sales strategies to position the Organization as a partner of choice, differentiating us from traditional vendors.

Job Responsibilities:

• • Establish trust-based relationships with major accounts to reinforce the perception of the company as a valued partner.
  • Thoroughly understand critical customer needs and requirements.
  • Expand client relationships by consistently proposing relevant solutions that align with customer objectives.
  • Ensure timely delivery of appropriate products and services.
  • Serve as the communication conduit between key clients and internal teams.
  • Address and resolve client issues and complaints to maintain longstanding trust.
  • Generate new sales opportunities that foster sustainable relationships.
  • Prepare regular progress and forecast reports for both internal and external stakeholders using key account metrics.
  • Lead contract negotiations and facilitate agreements covering all company products.
  • Develop comprehensive bundles of products and value-added services under a unified company offering.
  • Identify opportunities to broaden collaboration in product adoption, operational improvements, and patient care advancements.
  • Create and implement strategic partnership plans, encompassing joint initiatives, pilot programs, and innovation projects.
  • Analyze market trends to assess customer needs, sales potential, pricing, and discount structures, formulating strategies that drive win-win outcomes for both parties.
  • Monitor national reimbursement trends, developing strategies to secure and maintain company products within reimbursement frameworks.
  • Define negotiation parameters in economically challenging client situations.
  • Stay informed on industry and competitor developments to sharpen competitive positioning.
  • Maintain awareness of industry trends and their implications on country-level sales activities.
  • Lead or participate actively in cross-functional teams.

Your Experience:

• Bachelor’s degree in Business, Life Sciences, or related field; MBA or advanced degree preferred.
• Minimum 8 years’ experience in strategic account or partnership management within MedTech, medical devices, or healthcare.
• Proven success managing partnerships with large hospital systems or healthcare networks.
• Expertise in negotiating contracts, pricing, and annual volume rebate agreements.
• Outstanding negotiation, communication, and consultative selling abilities.
• Strategic thinker with strong project management and execution skills.
• Data-driven approach, adept at analyzing clinical, operational, and financial insights.
• Familiarity with MedTech regulatory requirements, hospital procurement, and clinical workflows.
• Proficiency in CRM platforms and healthcare account management tools is advantageous.

Claudia Ardelean
Radhika Kapoor

Key Responsibilities:

1. AI Strategy and Implementation:
• Drive the adoption and strategic integration of AI and automation within the PTP service line.
• Develop customized AI strategies that align with the unique requirements of the business.
• Identify and prioritize opportunities for automation that enhance operational efficiency and business growth.
• Partner with PTP and GPO leadership to ensure AI initiatives are aligned with broader business objectives.
2. Project Management:
• Lead the execution of prioritized AI and automation projects, managing them from inception to completion.
• Develop and manage comprehensive project plans, timelines, budgets, and resource allocation.
• Coordinate cross-functional teams, ensuring effective communication and collaboration between business and technical teams.
• Monitor project progress, identify potential risks, and implement mitigation strategies to ensure successful project delivery.
3. Business Analysis:
• Collaborate with stakeholders to gather and document business requirements for AI initiatives.
• Conduct market research and competitive analysis to identify opportunities for AI-driven innovation.
• Analyze business processes to identify areas where AI can add significant value and improve efficiency.
• Translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
4. Stakeholder Management:
• Engage with business leaders and clients to understand their strategic goals and how AI can support them.
• Provide regular updates and status reports to stakeholders, ensuring alignment between stakeholder needs and project deliverables.
• Foster a culture of innovation and strategic thinking within the PTP service line by promoting the benefits of AI and automation.
5. Innovation and Continuous Improvement:
• Apply technical knowledge to assess and recommend new AI tools and platforms that can drive innovation.
• Escalate issues and coordinate resources to resolve challenges in AI implementation.
• Conduct post-implementation reviews to assess project outcomes, identify lessons learned, and suggest areas for improvement.
• Foster a continuous improvement mindset, encouraging the exploration of emerging AI technologies and methodologies.
6. Documentation and Reporting:
• Maintain detailed project documentation, including business cases, project charters, and change requests.
• Track and report on key performance indicators (KPIs) to measure project success and business impact.
• Ensure comprehensive records of project activities, decisions, and lessons learned are maintained for future reference.

Qualifications:

• Experience:
• 5+ years of experience in business analysis, project management, or a related field, with a focus on AI and automation.
• Proven track record of successfully leading and delivering AI/automation projects within a corporate environment.
• Education:
• Bachelor’s degree in Business Administration, Information Technology, Computer Science, or a related field.
• Advanced degree or certification in AI, Project Management, or a related discipline is a plus.
• Technical Skills:
• Strong understanding of AI concepts, particularly in the context of business applications.
• Proficiency in project management tools (e.g., Jira, Asana, Microsoft Project).
• Experience with data analysis and visualization tools (e.g., Excel, Tableau, Power BI).
• Familiarity with software development lifecycle (SDLC) and agile methodologies.
• Soft Skills:
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills, with the ability to work effectively across business and technical teams.
• Ability to manage multiple projects simultaneously and deliver on tight deadlines.
• Strategic thinker with a focus on driving business value through AI and automation.
• Bonus Skills:
• Experience with Generative AI or other advanced AI technologies.
• Certification in project management (e.g., PMP, Scrum Master).
• Experience with process modeling tools (e.g., BPMN, Visio).

India-Haryana, Gurgaon

Purpose Statement:

Responsible for providing mechanical engineering support in the NPD/sustenance of medical device products.

Key Responsibilities:

• Understanding of Mechanical engineering concepts/ first principles.
• Knowledge of material sciences and processing – Metals, Polymers, Plastics. The candidate should be able to apply knowledge of materials and processes to design
• Setting technical specifications & Design requirements
• Apply principles of Mechanical engineering, Physics, and Material Science to perform data driven development, optimization, and evaluation of novel or iterative designs of mechanical and electro-mechanical materials, components, assemblies, processes and/or equipment, based on customer and business needs.
• Defines and implements specifications, inputs/outputs, working parameters, and test methods using current best practice engineering methods and technologies.
• Assesses design risks and mitigations through tools such as FMEA, Fault tree, etc.
• Works closely with key internal and external specialty resources to ensure robust holistic device / component design and to address complex design issues.
• Continuously improves process and work methodologies by interfacing with peers/cross-functional groups and analyzing activities to improve workflow and work processes.
• Provides clear communication to stakeholders for key technical updates.
• Creates robust documentation of requirements, protocols, evaluations, reports, etc. throughout all phases of research and development by writing clear and concise documents.
• Complies with site and department specific procedures on record keeping, use of log books, materials receiving, and inventory control. Completes time records and reports projects allocated time. Adheres to all EH&S procedures and general housekeeping SOP's. Remains knowledgeable of technologies within functional area.
• Writes and submits intellectual property (patents).
• Reviews or coordinates vendor activities to support development.
• Contributes to a strong team culture around high expectations and high performance.

Education and Experience required:

• BE/B.Tech degree in Mechanical/Biomedical engineering.
• 3-6 years of experience in similar work.
• Knowledge in medical grade material sciences and processing – Metals, Polymers, Plastics
• Proficient in CAD Design, GD&T, Tolerance stack-ups
• Knowledge of quality system & processes that need to be applied for product development.

India-Haryana, Gurgaon

About the position:

Key Responsibilities:

• Lead the design, development, and deployment of scalable Salesforce solutions across initiatives like AOP Feedback, Tableau Integration, and Territory Action Planning.
• Collaborate with cross-functional teams including Admin, Marketing, and Analytics for solution alignment and delivery.
• Guide and mentor junior developers to ensure quality, consistency, and timely delivery.
• Take ownership of project timelines, task prioritization, and phased implementation planning.
• Work closely with the SFDC Product Owner to track progress using tools like Jira and participate in agile ceremonies.
• Serve as backup lead for critical activities including scrum master support, testing, and Jira process management during leadership absence.
• Remain flexible and responsive to ad-hoc development or configuration requests.

Basic Required:

• B.E./B.Tech (any field) OR BCA+MCA.
• 4-7.5 Years of experience to be considered.
• Hands-on Salesforce development experience (Apex, Lightning Components, Flows, SOQL).
• Strong knowledge of Salesforce configuration, declarative tools, and platform limits.
• Experience with integrations such as REST/SOAP APIs or Tableau.
• Familiarity with Agile methodologies and Jira project tracking.
• Ability to lead, mentor, and collaborate across teams.
• Excellent communication and problem-solving skills.
• Salesforce Platform Developer II certification is preferred.

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.