Ai Agent Engineer With Copilot Studio And Power Platform in India

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati

Opportunity Overview: We are seeking an experienced and driven Sr. Technical Talent Acquisition Partner to join our Talent Acquisition team and spearhead hiring initiatives for our Healthcare Technology organization. The ideal candidate will have strong technical hiring expertise, a deep understanding of engineering roles (e.g., software development, data engineering, cybersecurity, cloud, etc.), and a passion for healthcare innovation. In this role, you will lead strategic hiring efforts, partner closely with business leaders to attract top-tier engineering talent aligned with the evolving needs of the healthcare tech landscape. You will play a key role in scaling high-performing technology teams that are building transformative healthcare solutions. What you’ll do: Recruitment: Lead and own the end-to-end recruitment lifecycle from sourcing, screening, and interviewing to offer negotiation and onboarding for critical IT roles across domains like software engineering, data science, cloud, DevOps, cybersecurity, and healthcare IT systems. Assess candidates for both technical and cultural fit; conduct initial technical interviews when appropriate. Drive diversity, equity, and inclusion (DEI) in hiring initiatives. Stakeholder Management: Serve as the primary point of contact for senior-level hiring, workforce planning, and executive recruitment. Partner with business, HRBPs, and leadership to forecast talent needs and develop proactive sourcing strategies. Collaborate with global TA and business teams on talent pipeline planning and role prioritization. Sourcing & Market Intelligence: Design and execute advanced sourcing strategies across platforms, leveraging multiple sourcing channels including job boards, LinkedIn, employee referrals, campus outreach, and recruitment agencies. Employer branding: Represent the company at tech events, career fairs, and employer branding campaigns to attract top talent. Conduct regular market mapping and talent intelligence repor

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Industry Context: AI-driven supply chain innovations reduce logistics costs by 15%+, inventory by 35%+, and improve service efficiency by 65%+. Companies prioritize AI-enabled automation as the key enabler for customer experience, sustainability, and resilience. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . FourKites is building a next-generation Inventory & Orders module that gives supply chain teams unified, real-time visibility into on-hand stock, in-transit inventory, open orders, and stockout risk — across their entire network. We are looking for a Product Manager I to own day-to-day execution for this module: writing precise specifications, synthesizing customer discovery into prioritized backlogs, and partnering with engineering to ship features that help supply chain planners move from reactive firefighting to proactive decision-making. This is a high-visibility role on a nascent product. You will work at the intersection of supply chain planning, procurement, and real-time logistics data — with your contributions directly shaping the foundational decisions of this offering. What you'll be doing Product Execution & Specification Author detailed user stories, acceptance criteria, and feature specifications for capabilities such as safety stock threshold configuration, order-at-risk dashboards, and AI-assisted stock transfer recommendations. Translate ambiguous customer requirements into structured, engineering-ready backlog items with clear scope boundaries. Own sprint-level backlog grooming in collaboration with the engineering manager, ensuring tickets are well-defined and prioritized before each cycle. C

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . FourKites is looking for an ambitious and experienced Customer Success Manager to join our team! You will provide the best customer experience by building a consultative relationship with your book of business in order to grow and retain customers. You will have a strong partnership with our Sales team, as you help your customers meet their business objectives while identifying new opportunities to expand the FourKites footprint. As the owner of the day-to-day management of your customers, you will become their go-to expert in all things FourKites. From training your customers on the FourKites platform, to creating actionable goals for ways that they can optimize their supply chain, you are responsible for creating customers who are delighted in their utilization and adoption of our product. What you’ll be doing: Own overall relationship with assigned customers, which include: increasing adoption, driving usage, ensuring retention and satisfaction Establish a trusted/strategic advisor relationship with each assigned customer and drive continued value of our products and services Develop, prepare, and nurture customers for advocacy Work with customers to establish critical goals, or other key performance indicators and aid the customer in achieving their goals Facilitate a quarterly Executive Business Review to review goals, progress and opportunities Understand white-space and work to identify and/or develop upsell opportunities Advocate customer needs/issues cross-departmentally Manage account escalations Advocate internally for customer needs and connect on prio

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

Opportunity Overview: We’re seeking a strategic and execution-focused Technical Program Manager to drive large, cross-functional initiatives from concept through launch. In this role, you will lead end-to-end delivery of complex, multi-team programs—such as platform migrations, architectural modernization, reliability improvements, and major product launches—while defining clear milestones, success metrics, and sequencing plans. You’ll partner deeply with Engineering to proactively manage dependencies, mitigate risk, and ensure technical and business alignment. This role also strengthens our execution systems by improving program transparency, standardizing launch rigor, and translating technical complexity into clear executive-level insights. What you’ll do: Lead end-to-end delivery of multi-team initiatives (e.g., platform migrations, architectural modernization, reliability improvements, major product launches) Define milestones, critical paths, and measurable success criteria Break ambiguous initiatives into executable phases with clear sequencing Identify and manage cross-team technical dependencies Proactively surface risks and tradeoffs with mitigation plans Run structured risk reviews and escalation processes when needed Participate in technical design discussions to understand architecture and constraints Ensure design reviews, capacity planning, and rollout strategies happen early Collaborate with EMs and engineers leaders to align on realistic timelines Establish program tracking mechanisms that create transparency without bureaucracy Standardize launch readiness, milestone reviews, and postmortem follow-ups Identify systemic delivery bottlenecks and drive continuous improvement Provide concise executive updates with clear status, risks, and asks Maintain decision logs and documentation for key initiatives Translate technical complexity into business impact What you’ll need: Must-haves 6+ years of experience in technical program management, engineering pr

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . Are you looking to be an AI & SAAS Support Intern on a growing team? If so, this may be the role for you! You will be the face of FourKites to our customers—their main point of contact for everything they need. From helping customers track urgent shipments to providing assistance to carriers hauling the loads, you will be the product expert and go-to person to help users when they reach out. This internship is designed for hands-on, experiential learning —you'll get real exposure to how a growing SaaS platform operates, paired with the chance to work on special AI projects alongside our product and engineering teams. What you'll be doing: First point of contact for FourKites customers, partners & consultants to research, troubleshoot, replicate, and test product problems and bugs Track issue progress and provide regular updates to clients until incidents are resolved Interface with Development, QA, and Consulting Services as needed to resolve customer issues Contribute to special AI-driven initiatives , applying a curious, experimental mindset to explore how AI can improve support workflows and customer outcomes Be part of weekend rotation for 24/7 customer emergencies About the team: Our product and engineering teams are dedicated to providing the industry's best-in-class end-to-end supply chain visibility platform. We are committed to building a high-performing team with software craftsman-thinking who are dedicated to developing and enhancing our core platform, and we want you to be a central part of it! We help companies transform their end-to-end supply chain with real-

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines

Opportunity Overview: The Data Platform team at Cohere Health is building a scalable, intelligent data ecosystem to power analytics, reporting, and operational decision-making across the company. We are seeking a Business Analyst II to serve as the bridge between client enablement and business needs and technical execution. You’ll work closely with clients, stakeholders, product managers, and engineers to gather requirements, write user stories, shape data solutions, and help drive the development of high-quality data products. As a Business Analyst II, you are expected to work independently on moderately complex initiatives, provide clarity and structure to technical delivery, and contribute to the ongoing evolution of our processes and workflows. This role combines attention to detail, analytical thinking, and cross-functional collaboration. This role offers the opportunity to work in a dynamic, mission-driven environment with the chance to make a measurable impact on healthcare outcomes. The ideal candidate will be curious, detail-oriented, and comfortable navigating fast-paced, cross-functional work. What you’ll do: Partner with clients, the client delivery team, product development and stakeholders across the business to gather and document detailed business and data requirements Translate business needs into clear user stories, and supporting epics, collaborating with the Sr. Product Manager and engineers to ensure accuracy and alignment Perform data gap analyses and source-to-target mapping to support onboarding of new data sources Validate data outputs and support QA processes using SQL and other tools to ensure accuracy, consistency, and completeness Support data profiling and quality monitoring efforts, while maintaining awareness of data lineage and providing business context to ensure end-to-end data reliability. Serve as the point of contact for requirement clarification during project delivery, ensuring alignment across teams Take initiative to improve

Opportunity Overview: We are seeking a Technical, Hands-on Manager to lead a team responsible for building and maintaining high-quality healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership . In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable insights. The ideal candidate is both a strong people manager and a hands-on analytics leader who can guide analysts in rigorous data methodology, translate data outputs into meaningful business insights, and partner closely with commercial strategy, product, clinical, and analytics stakeholders. What you’ll do: Lead and develop a team of data analysts responsible for the creation, validation, and ongoing refresh of healthcare market datasets. Mentor analysts in data methodology, statistical reasoning, and reproducible analytics practices to ensure consistent and rigorous analysis across the team. Establish analytic standards, coding practices, and documentation expectations to ensure all datasets and insights produced by the team are reproducible and scalable. Establish and maintain governance processes for market data including versioning, documentation, auditability, and traceability of data sources and methodologies. Oversee change-detection logic, ensuring the team systematically identifies and documents additions, removals, and shifts in the market dataset. Define and enforce data quality standards across ingestion, transformation, and analysis workflows. Collaborate with Data Engineering and Platform teams to ensure the underlying data infrastructure supports scalable ingestion, transformation, and analytics workflows used by the analyst team. Translate analytic outputs into business insights, benchmarks, and st

Overview: Guidepoint's Engineering team thrives on delivering innovative technology solutions that accelerate revenue growth, reduce costs and increase efficiency and productivity. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to create new products and improve existing platforms to optimize the seamless delivery of our services. This is a hybrid position based in Pune. What You’ll Do: Design, build, and maintain a test automation framework. Automate test cases and design, develop, and execute reusable and maintainable automated scripts. Analyze issues related to automated and/or load testing, research and propose solutions, and add, modify, or enhance previously recorded automated scripts. Analyze test results and determine root causes of issues. Determine severity and scope of issues to guide prioritization for resolution. Provide regular software defect tracking and regression updates and present status and technical reports as required. Assist in planning, developing, and delivering training related to automated test tools and frameworks. Review, establish, and maintain thorough documentation, templates, and process improvements and communicate technical issues to engineering leadership and business stakeholders. Work closely with other engineering team members and departments on technical issues and updates. Keep abreast of technology trends and advancements within areas of specialization and incorporate improvements into the overall testing process. What You Have: 7+ years of experience in QA Automation engineering is a must. Experience with writing test scripts from scratch for manual testing Strong experience in automated testing practices and tools — Playwright/Selenium/Cypress/Any Othe

We are looking for a Full Stack Developer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions — owning the full journey from intuitive user interfaces to robust cloud-native backends. What This Involves: Front-End Development Develop and maintain user interfaces for web applications using React and Next.js. Translate wireframes and design mockups into functional, accessible UI components. Identify and resolve front-end performance bottlenecks to ensure smooth user experiences. Write and maintain unit and integration tests for front-end components (e.g. Jest, React Testing Library). Back-End Development Develop and maintain high-quality back-end services and APIs using Python. Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP). Manage containerized applications using Docker and Kubernetes. Contribute to the design and evolution of scalable, cloud-native software architectures. Contribute to and maintain CI/CD pipelines for web and back-end applications. Collaboration and Quality Work closely with data scientists, engineers and project managers to deliver integrated end-to-end solutions. Support the development and deployment of AI and analytics solutions. Write clean, well-documented, and maintainable code across the full stack. Participate in technical discussions, code reviews, and continuous improvement initiatives. Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards. Requirements: Bachelor’s degree in Computer Science or related fields. 5+ years of software development experience, with meaningful time on both front-end and back-end systems. Experience designing systems in cloud-native or distributed environments is a plus. Excellent communication and collaboration skills — comfortable working acros

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Senior Backend Java Developer Position Summary TEGNA is looking for an experienced Senior Backend Java Developer to join our highly collaborative and agile engineering team. This role is ideal for someone who enjoys solving complex technical challenges and building scalable backend platforms in high-performance environments. You will work on designing and developing cloud-native applications and distributed systems while collaborating across engineering teams to deliver reliable and innovative solutions. What You’ll Do • Design, develop, and implement scalable backend services using Java, Spring Boot, and AWS. • Build and optimize microservices-based architectures to support high-performance applications. • Develop reliable and scalable solutions for distributed systems operating in high-traffic environments. • Partner with cross-functional teams to understand requirements and deliver quality solutions. • Improve application performance, resiliency, scalability, and system reliability. • Participate in code reviews and contribute to engineering best practices and quality standards. • Drive continuous improvements through emerging technologies and modern development practices. • Support cloud deployment, monitoring, and operational excellence initiatives. What You’ll Bring • Bachelor’s or master’s degree in computer science, Software Engineering, or