Top Tech Jobs & Startup Jobs in Pune

Coordinate and govern testing across multiple suppliers for large-scale ServiceNow implementations. Plan and execute SIT and UAT, manage defects and triage, prepare testing dashboards and quality metrics, assess go-live readiness, coordinate test sign-offs, and ensure adherence to quality gates and governance standards. The role requires stakeholder coordination across distributed Agile teams, hands-on ServiceNow testing, and mandatory ServiceNow CSA and ATF Micro-Certifications.

Leads Dynamics NAV and Dynamics 365 Business Central implementations as a client-facing functional consultant. Gathers and analyzes requirements, designs Finance and Supply Chain solutions, maps needs to standard functionality, and identifies configuration, customization, integration, migration, testing, and development requirements. Oversees delivery across project phases, prepares functional documentation, trains users, coordinates distributed teams and partners, supports production issues, and travels to client locations as needed.

Architects and develops scalable generative and agentic AI solutions for enterprise clients. Responsibilities include translating business requirements into technical designs, defining architecture and non-functional requirements, evaluating technologies through proofs of concept, reviewing designs and code, and ensuring scalable, secure, maintainable production deployments on Azure or AWS. The role requires deep LLM, RAG, prompt engineering, model tuning, evaluation, anomaly detection, API development, and cross-functional collaboration experience.

Architects and develops scalable generative AI and agentic AI solutions for enterprise clients. Responsibilities include translating business requirements into technical designs, selecting architectures and technologies, defining non-functional requirements, reviewing code and architecture, conducting proofs of concept, and resolving technical issues. The role requires production-grade Python development, RAG and prompt engineering expertise, model fine-tuning and evaluation, cloud deployment on Azure or AWS, API development, and cross-functional collaboration.

Design, develop, deploy, and optimize autonomous AI agents and production-grade backend services. Build LangChain and LangGraph workflows, integrate APIs, databases, and SaaS platforms, and implement prompt engineering, memory, tool use, monitoring, observability, CI/CD, and cloud-native deployment. Evaluate and improve agent performance, reliability, latency, and cost while providing technical guidance and collaborating with product, engineering, and data teams.

Designs and develops scalable SRE and DevSecOps ecosystems using TypeScript, AWS, Kubernetes, EKS, and Infrastructure as Code. Builds reusable cloud-native scaffolding, automates reliability and operational processes, and implements CI/CD, observability, monitoring, and service mesh capabilities. Analyzes dependencies across microservices, establishes application onboarding standards, evaluates emerging technologies, and provides technical guidance to distributed engineering teams.

Manage the full HR lifecycle for U.S.-based employees, including onboarding, contracts, payroll coordination, employee relations, compliance, performance management, mobility, offboarding, and engagement. Support expatriate programs, advise managers and employees, maintain confidential records, provide workforce insights, and collaborate with HR teams across time zones. The role requires strong knowledge of U.S. employment practices and the ability to improve HR processes and employee services.

Designs, develops, and implements ServiceNow solutions globally, specializing in ITAM, HAM, SAM, ITSM, and platform integrations. Translates business requirements into technical solutions, configures applications, performs integration testing, troubleshoots issues, and applies ServiceNow scripting technologies. Collaborates with cross-functional teams, participates in design and code reviews, ensures best-practice adherence, and provides technical recommendations for continuous improvement.

Leads the architecture and technical vision for scalable AI-powered applications, including LLM inference, RAG pipelines, autonomous agents, conversational interfaces, and intelligent dashboards. Designs secure cloud and hybrid platforms, establishes GenAI engineering standards, drives reusable AI frameworks, and ensures governance, privacy, compliance, and responsible AI practices. Partners with clients, product teams, designers, and executives; mentors engineers, reviews designs and code, conducts technical discovery, and translates business requirements into durable enterprise architectures.

Architect and lead scalable AI-powered applications using Python, React, LLMs, RAG, and agentic workflows. Own technical vision across backend, frontend, AI infrastructure, cloud deployment, security, governance, and responsible AI. Design reusable GenAI platforms, review architectures and code, conduct technical discovery, establish engineering standards, mentor engineers, and translate business requirements into durable enterprise solutions.