4 Kendra Jobs

Role Overview: We are seeking a highly skilled Senior AWS Solutions / AI Architect to lead the design and implementation of advanced agentic AI solutions within cloud environments, specifically leveraging AWS services. The ideal candidate will combine deep technical expertise in AI/ML, cloud-native architectures, and healthcare domain experience to deliver scalable, compliant, and innovative solutions that drive business outcomes. Key Responsibilities: Architect and lead the design of agentic AI systems utilizing AWS services such as Bedrock, SageMaker, Lambda, Step Functions, EventBridge, OpenSearch, and DynamoDB. Design and implement multi-agent orchestration frameworks for clinical data workflows, including source verification, discrepancy resolution, and data integration. Evaluate architectural trade-offs between LLM-based reasoning, rules engines, and hybrid AI solutions to determine the best approach per use case. Provide thought leadership in healthcare and Life Sciences AI solutions, ensuring compliance with relevant regulatory frameworks. Mentor and guide AI engineers, developers, and DevOps teams on best practices for building agent-based architectures. Collaborate closely with clinical Subject Matter Experts (SMEs), compliance teams, and project sponsors to ensure that technical solutions align with strategic business objectives. Required Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (PhD is a strong advantage). 3+ years of industry experience in AI/ML engineering, including 35 years focused on cloud-native AI architecture and solution design. Hands-on experience with AWS AI services: Bedrock, SageMaker, Comprehend Medical, Textract, Kendra, and Lex. Strong knowledge of agentic AI frameworks such as LangChain, LlamaIndex, Haystack, CrewAI, or AutoGen. Proven expertise in workflow orchestration tools like AWS Step Functions, Apache Airflow, or Temporal. Deep understanding of multi-agent pipeline design, data processing, and automation in regulated environments. Demonstrated experience in delivering AI solutions for healthcare and Life Sciences domains, with a strong focus on regulatory compliance. Excellent leadership skills, with the ability to influence stakeholders, provide technical governance, and deliver high-impact solutions. Preferred Attributes: Strong problem-solving aptitude with an analytical mindset. Effective communication skills, both written and verbal, especially when engaging with cross-functional teams. Passion for cutting-edge AI technologies and cloud innovations.

Job Title: Senior Principal Data Engineer Location: Gurgaon, Bangalore Work Schedule: 12:00 PM 8:30 PM IST Job Type: Full-Time Position Overview: We are seeking a Senior Principal Data Engineer with expertise in cloud-native AI/ML architecture and Generative AI . This role will be pivotal in designing innovative solutions, guiding development teams, and ensuring alignment with architectural best practices while leveraging cutting-edge technologies and AWS cloud services. Key Responsibilities: Architect Generative AI solutions using AWS services: Bedrock , SageMaker , Kendra , S3 , PGVector. Lead end-to-end solution design for AI/ML initiatives and complex data systems. Collaborate with cross-functional teams (onshore and offshore) to implement solutions. Conduct technical reviews, guide developers, and ensure code quality and best practices. Navigate and manage governance and architectural approval processes. Present solutions and provide technical advice to senior leadership and stakeholders . Mentor junior engineers and promote a culture of innovation and continuous learning. Evaluate and integrate emerging technologies like LangChain . Work closely with data scientists and data analysts to optimize model performance and data usage. Design and implement ETL pipelines , data flows, and support diverse data types (structured/unstructured). Lead technical workshops, documentation, and architecture planning. Required Qualifications: 12-15 years of experience in software engineering, data architecture, and solution design. Proven track record in building and deploying AI/ML, analytics, and data-driven platforms. Expert-level knowledge of AWS services: Bedrock SageMaker Kendra S3 PGVector Strong hands-on experience in Python (primary), with additional skills in Java or Scala. Deep understanding of data structures, algorithms, and software design patterns. Strong background in data pipelines, ETL, and working with structured, semi-structured, and unstructured data. Familiarity with DevOps, CI/CD pipelines, and infrastructure-as-code principles. Awareness of AI ethics, bias mitigation, and responsible AI frameworks. Experience with tools/frameworks like LangChain is highly desirable.

Key Responsibilities: Design and architect Generative AI solutions leveraging AWS services such as Bedrock, S3, PG Vector, Kendra, and SageMaker. Collaborate closely with developers to implement solutions, providing technical guidance and support throughout the development lifecycle. Lead the resolution of complex technical issues and challenges in AI/ML projects. Conduct thorough solution reviews and ensure adherence to best practices and company standards. Navigate governance processes and obtain necessary approvals for initiatives. Make critical architectural and design decisions aligned with organizational policies and industry best practices. Liaise with onshore technical teams, presenting solutions and providing expert analysis on proposed approaches. Conduct technical sessions and knowledge-sharing workshops on AI/ML technologies and AWS services. Evaluate and integrate emerging technologies and frameworks like LangChain into solution designs. Develop and maintain technical documentation, including architecture diagrams and design specifications. Mentor junior team members and foster a culture of innovation and continuous learning. Collaborate with data scientists and analysts to ensure optimal use of data in AI/ML solutions. Coordinate with clients, data users, and key stakeholders to achieve long-term objectives for data architecture. Stay updated on the latest trends and advancements in AI/ML and cloud and data technologies. Key experience: Extensive experience (12-16 years) in software development and architecture, with a focus on AI/ML solutions. Deep understanding of AWS services, particularly those related to AI/ML (Bedrock, SageMaker, Kendra, etc.). Proven track record in designing and implementing data, analytics, reporting and/or AI/ML solutions. Strong knowledge of data structures, algorithms, and software design patterns. Expertise in data management, analytics, and reporting tools. Proficiency in at least one programming language commonly used in AI/ML (e.g., Python, Java, Scala). Familiarity with DevOps practices and CI/CD pipelines. Understanding of AI ethics, bias mitigation, and responsible AI principles. Basic understanding of data pipelines and ETL processes, with the ability to design and implement efficient data flows for AI/ML models. Experience in working with diverse data types (structured, unstructured, and semi-structured) and ability to preprocess and transform data for use in generative AI applications.

Job Title: Senior Principal Data Engineer Location: Gurgaon Work Schedule: 12:00 PM 8:30 PM IST Job Type: Full-Time Job Summary: We are seeking an experienced Senior Principal Data Engineer with a strong background in AI/ML , Generative AI , and cloud-native architectures . This role involves leading the design and implementation of advanced data and AI solutions using AWS, mentoring technical teams, and driving innovation through emerging technologies. Key Responsibilities: Architect and design Generative AI solutions leveraging AWS services (e.g., Bedrock, S3, PGVector, Kendra, SageMaker). Collaborate with engineering teams throughout the software development lifecycle to ensure robust and scalable solutions. Lead technical decision-making and resolve complex AI/ML challenges. Conduct solution reviews and ensure alignment with best practices and security policies. Guide solution governance and secure necessary architectural approvals. Integrate emerging technologies and frameworks (e.g., LangChain) into solution designs. Deliver technical presentations, workshops, and knowledge-sharing sessions. Create and maintain architectural documentation and design specifications. Mentor junior engineers and contribute to a culture of continuous learning. Partner with data scientists and analysts to enable effective model development and deployment. Coordinate with stakeholders and clients to align data architecture with business objectives. Stay current with industry trends in AI, machine learning, data engineering, and cloud technologies. Required Qualifications: 12–15 years of experience in software development and architecture. Proven expertise in designing and delivering AI/ML and data-driven solutions. Deep understanding of AWS cloud services , especially: Bedrock SageMaker Kendra S3 PGVector Strong programming skills in Python (required), with additional experience in Java or Scala preferred. Solid foundation in data structures , algorithms , and software design patterns . Experience in building ETL/data pipelines and working with diverse data types (structured, unstructured, semi-structured). Understanding of DevOps practices and CI/CD pipelines . Familiarity with Generative AI frameworks such as LangChain . Knowledge of AI ethics , bias mitigation, and responsible AI principles. Nice to Have: Experience working with large-scale enterprise data systems. Exposure to cloud governance and architectural review boards. Certifications in AWS or AI/ML technologies.