Artificial Intelligence Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 2 weeks ago
7-9 years
Noida, Uttar Pradesh
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 28 Dec 2026

Posted: 2 weeks ago
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Job Description

We are looking for a Senior Consultant in Data Sciences with AWS AI/ML expertise, specifically focusing on Agentic AI solutions within the Healthcare and Revenue Cycle Management (RCM) sectors. We are an Equal Opportunity Employer committed to creating an inclusive environment for all employees, regardless of race, religion, caste, gender, age, or disability. We provide a safe workplace in strict accordance with the Sexual Harassment of Women at Workplace (POSH) Act and offer comprehensive benefits including maternity leave and crèche facilities as per Indian statutory norms.

The successful candidate will lead the design and development of enterprise-grade Agentic AI solutions on AWS platforms. You will build intelligent AI agents using Amazon Bedrock and AWS AI services while architecting scalable multi-agent and autonomous workflows. The role involves developing RAG-based applications that leverage vector search and knowledge retrieval to drive business value. You will implement LLM-powered solutions and optimize Generative AI models for specific business use cases while ensuring ethical deployment through responsible AI frameworks.

Required Skills and Experience

Experience 7+ Years

  • Extensive experience in AI/ML, Data Science, or AI Engineering with a focus on scalable systems.
  • Demonstrated hands-on experience building Agentic AI solutions on AWS platforms.
  • Proficiency with Amazon Bedrock, AgentCore, Strands, and related AWS AI services.
  • Strong understanding of classical AI/ML, Advanced Neural Networks, and Generative AI models.
  • Comprehensive knowledge of NLP, LLMs, RAG, embeddings, tool calling, and agent orchestration.
  • Experience designing and implementing multi-agent or autonomous AI workflows.
  • Foundational understanding of evaluation, guardrails, observability, and responsible AI practices.
  • Professional experience within the Healthcare or Revenue Cycle Management (RCM) industries.
  • Proven ability to communicate technical concepts to diverse stakeholders and technical teams.

Preferred Skills

  • Advanced certifications in AWS Machine Learning Specialty or Cloud Architecture.
  • Experience leading technical design reviews and guiding engineering teams.
  • Exposure to presales activities and solution demonstrations for global healthcare clients.
  • Knowledge of Indian data privacy regulations and healthcare compliance standards.

Roles and Responsibilities

You will lead technical innovation by architecting AWS-native solutions with a focus on scalability, performance, and security. You will collaborate with stakeholders to synthesize business challenges into AI-driven solutions and guide engineering teams through the development lifecycle. A key part of this role is establishing robust model evaluation and guardrails to ensure ethical AI deployment. Additionally, you will support client engagements and develop healthcare-focused AI solutions across Revenue Cycle Management processes. We welcome applications from neurodivergent individuals and are happy to provide reasonable accommodations during the recruitment process.

Skills

Data PrivacyData ScienceMachine LearningAi/mlAiMlLlmLlmsGenerative AiRagEmbeddingsTool CallingGuardrailsModel EvaluationAi AgentsAgenticAgentic AiVector SearchNlpNeural NetworksAmazon BedrockArtificial Intelligence

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About Company

R Systems is a global digital transformation leader providing AI-driven solutions, products, and services to help organizations adapt and thrive in the digital era. We enable clients to modernize their IT infrastructure, accelerate innovation, and enhance customer experiences. With over 25 years of experience, R Systems combines technological expertise, industry knowledge, and a customer-centric approach to deliver tailored solutions that drive business value.

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