Job description Job Summary: We are seeking a highly motivated and experienced Senior US IT Recruiter to join our dynamic team. The ideal candidate will be responsible for full-cycle recruitment, sourcing top-tier IT talent for our clients across the United States. You will leverage your expertise in technical recruiting to identify, engage, and secure qualified candidates for a variety of IT roles, including software engineers, developers, system administrators, project managers, and more. Responsibilities: Full-Cycle Recruitment: Manage the entire recruitment lifecycle, from sourcing and screening to offer negotiation and onboarding. Sourcing and Talent Acquisition: Utilize various sourcing techniques, including LinkedIn Recruiter, job boards, networking, and referrals, to identify and attract qualified IT professionals. Candidate Screening and Evaluation: Review resumes, conduct phone and in-person interviews, and assess candidates' technical skills, experience, and cultural fit. Relationship Management: Build and maintain strong relationships with candidates, hiring managers, and clients. Client Management: Understand client requirements and provide consultative recruitment services. Act as a trusted advisor to clients on market trends and talent availability. Technical Understanding: Develop a deep understanding of various IT roles and technologies to accurately assess candidate qualifications. ATS Management: Utilize and maintain our Applicant Tracking System (ATS) to track candidate progress and ensure accurate data. Market Research: Stay up-to-date on industry trends, competitor activities, and emerging technologies to inform recruitment strategies. Negotiation and Closing: Negotiate salary and benefits packages and close candidates effectively. Mentoring and Training: Mentor junior recruiters and share best practices within the team. Reporting and Analytics: Track and report on recruitment metrics and provide insights to improve recruitment processes. Compliance: Ensure compliance with all applicable employment laws and regulations. Qualifications: Experience: Minimum of 1-3 years of experience in US IT recruitment, with a proven track record of success in placing IT professionals. Technical Expertise: Strong understanding of various IT roles and technologies, including software development, cloud computing, networking, and cybersecurity. Sourcing Skills: Proficiency in using various sourcing tools and techniques, including LinkedIn Recruiter, Boolean search, and social media recruiting. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively interact with candidates, clients, and team members. Relationship Building: Strong interpersonal skills and the ability to build and maintain relationships with candidates and clients. Organizational Skills: Excellent organizational and time management skills, with the ability to manage multiple priorities and deadlines. ATS Proficiency: Experience using Applicant Tracking Systems (ATS). Other Skills: Strong negotiation skills Ability to work independently and as part of a team Results-oriented and driven to succeed Ability to work in fast paced environments. Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Commuter assistance Flexible schedule Health insurance Paid time off Schedule: Fixed shift Monday to Friday Night shift US shift Weekend availability Supplemental Pay: Performance bonus Yearly bonus Experience: US IT Recruitment: 2 years (Required) Language: English (Required) Work Location: In person Expected Start Date: 16/06/2025
Responsibilities : Experience in designing and developing new PowerApps model and canvas driven apps as well as enhancing existing apps Hands on experience in Power virtual agents (copilot studio) Extensive experience in developing cloud and desktop flows. Understanding formulas and development methods. Experience in VBA and UiPath is a plus Should be PL-200 certified. Microsoft Power Platform Consultant. Clear, logical, and effective verbal/written communication skills High responsiveness and keen perception. Should be able to deliver in tight timelines. Design, develop Power Automate workflows including the creation of triggers, actions, conditions, and loops to automate business processes. Collaborate with business stakeholders and IT teams to gather requirements and translate them into technical solutions using Power Automate Create and configure connectors and integrations between various systems and applications to enable data flow and automation. Develop Connectors using specific language stacks such C#, JS/TS or Python to integrate with Power Automate with external systems. Should have experience in IT / ITSM project Hands-on experience on MS Power Platform (at least one project) MS Power Platform Certification. Notice period : Immediate Joiners Primary Skills : (Power platform- minimum exp 3+ years) Power Automate , power apps , power AI extraction (Must have) , AI builder, Azure Function, Communication, Customer Facing Role). Mode : Hybrid (3 days WFO)
Responsibilities: experienced SAP SuccessFactors ECP Consultant to implement, configure, and support Employee Central Payroll solutions The role involves managing end-to-end payroll processes, ensuring compliance, and integrating EC with payroll and other HR systems Integrate EC with Payroll using SAP CPI or middleware tools Manage payroll schemas, wage types, and compliance updates Support testing, troubleshooting, and post-go-live activities Collaborate with HR, Finance, and IT teams to deliver payroll solutions
Role Summary: The Technical Product / Project Lead (TPL) will be a key member of K force Consulting Solutions (KCS) - AI CoE team, responsible for managing the execution of AI and automation initiatives from intake through delivery. This individual will coordinate between the U.S. AI CoE leadership, practice SMEs (Cloud, Digital, App Engineering, Data), and KCS AI CoE development team, ensuring projects are delivered with quality, speed, and alignment to business outcomes. They will play a dual role — translating business requirements into actionable technical deliverables and providing hands-on delivery oversight for pilots and scaled implementations. Key Responsibilities Program & Delivery Ownership Own end-to-end delivery for AI/automation projects assigned to the KCS AI CoE team — from backlog intake through pilot and production rollout. Drive sprint planning, backlog refinement, and milestone tracking in Azure DevOps (ADO). Maintain visibility into task status, risks, and dependencies across the offshore development team. Ensure delivery adherence to AI CoE governance, security, and compliance standards. Technical & Product Translation Translate business requirements (captured via intake and AI CoE validation) into technical scope, user stories, and acceptance criteria. Partner with data scientists, engineers, and SMEs to define architecture, data sources, and integration needs. Review functional and technical designs to ensure they align with KCS AI CoE standards and client needs. Stakeholder & Communication Management Serve as the day-to-day liaison between U.S. AI CoE, Steering Committee, and IDC teams. Communicate progress, risks, and blockers through dashboards and structured updates. Foster trust and transparency with practice leads and client-facing delivery teams. Process & Quality Governance Ensure every initiative follows the standard KCS AI CoE process (Intake > Prioritization > Pilot > Scale > Monitoring). Maintain documentation, including Business Requirement Summaries, Technical Design Docs, and Pilot Reports. Conduct quality checks on backlog readiness, sprint output, and release deliverables. People & Collaboration Coordinate cross-functional collaboration between developers, data engineers, ML engineers, and QA. Support onboarding and knowledge sharing as new team members join the AI CoE team. Drive a culture of accountability, continuous improvement, and delivery excellence. Required Skills & Experience Technical Skills 8–12 years of experience managing technology or AI/automation projects (preferably with hybrid onshore-offshore models). Proven experience with Azure DevOps (ADO) or Jira for backlog and sprint management. Working knowledge of AI/ML lifecycle (data prep, model training, validation, deployment, monitoring). Familiarity with Azure AI services, OpenAI APIs, and cloud integration concepts. Basic understanding of data engineering pipelines (ETL, SQL, Python) and application integration frameworks. Strong grasp of governance, compliance, and risk management principles for AI projects. Product & Delivery Skills Ability to translate business use cases into structured technical requirements. Experience defining KPIs, success criteria, and ROI metrics for pilots and scale solutions. Excellent backlog grooming, prioritization, and dependency management skills. Strong communication and stakeholder management with U.S.-based leadership teams. Soft Skills Self-driven, structured, and detail-oriented with a delivery-first mindset. Exceptional written and verbal communication skills. Proven ability to manage ambiguity and drive clarity in complex environments. Comfortable leading daily stand-ups, retrospectives, and technical deep dives. Preferred Qualifications PMP, CSM, or SAFe certification preferred. Experience working in or building an AI Centre of Excellence or data-driven product organization. Prior experience with U.S. clients in consulting or managed service environments. Success Indicators Projects delivered on time, within scope, and aligned with defined KCS AI CoE outcomes. Clear traceability from intake through execution in ADO. Positive feedback from U.S. CoE and practice leaders on communication and delivery quality. Reusable project documentation and accelerators created for future AI initiatives. Job Type: Full-time Pay: Up to ₹3,800,000.00 per year Benefits: Leave encashment Paid sick time Paid time off Provident Fund Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Experience: Azure DevOps: 8 years (Required) Work Location: In person
Role Summary The Full Stack Engineer will be a core member of the Kforce Consulting Solutions (KCS) - AI CoE team, responsible for building modern applications that integrate traditional software engineering with emerging AI capabilities. This role blends front-end and back-end development with hands-on implementation of LLMs, agent frameworks, retrieval pipelines, and automation tools. The engineer will work closely with AI specialists, data engineers, TPMs, and U.S. practice leads to deliver high-quality pilots and scalable production solutions for both internal and client-facing use cases. Key Responsibilities Full-Stack Development Design, develop, and deploy end-to-end web applications using modern frameworks and tools. Build responsive, maintainable front-end interfaces using React, Next.js, or similar. Develop secure, scalable back-ends using Python (FastAPI/Django), Node.js, Go, C#, or Java. Implement RESTful APIs, GraphQL services, and microservice components. AI Integration & Agent Workflows Integrate LLM APIs, RAG pipelines, and agent/automation frameworks into applications. Work with AI engineers to embed model inference, vector search, and workflow automation. Implement agent-based components for task automation, reasoning, an orchestration. Use tools like LangChain, LlamaIndex, or similar frameworks to build AI workflows. Collaboration & Cross-Functional Delivery Partner with TPMs, data engineers, and AI specialists to translate requirements into technical solutions. Participate in architecture discussions and help shape best practices for AI- powered applications. Support UI/UX, data, and DevOps teams to ensure smooth end-to-end delivery. AI-Assisted Engineering & Productivity Leverage AI coding assistants (Copilot, ChatGPT, Cody, Cursor) throughout the development cycle. Maintain high development velocity while following code quality, documentation, and testing standards. Contribute to reusable components and accelerators that the KCS Innovation CoE can apply across clients . Operational Excellence Write clean, testable code and maintain automated testing pipelines. Build and maintain CI/CD workflows using modern DevOps tools. Support deployments on AWS, Azure, or GCP, using Docker/Kubernetes where needed. Participate in peer code reviews and ensure engineering consistency across the offshore team. Required Skills & Experience 5+ years of full-stack engineering experience. Strong proficiency in one or more backend languages: Python, Node.js, Go, C#, Java. Hands-on experience with modern front-end frameworks: React, Next.js, Vue, Angular. Strong knowledge of REST APIs, GraphQL, microservices, and cloud-native architecture. Experience with SQL/NoSQL databases (PostgreSQL, MongoDB, Redis). Experience integrating AI/LLM APIs or agent frameworks (LangChain, LlamaIndex, or similar). Comfortable using AI development tools as part of day-to-day workflow. Familiarity with AWS, Azure, or GCP, and containerization (Docker, Kubernetes). Strong understanding of CI/CD and software testing best practices. Excellent communication, collaboration, and ability to work with cross-functional AI delivery teams. Preferred Qualifications Experience building AI agents or automation workflows. Knowledge of vector databases and RAG pipelines. Understanding of prompt design and LLM interaction patterns. Exposure to serverless or edge computing environments. Consulting or client-facing delivery experience is a plus. Job Type: Full-time Pay: ₹2,500,000.00 - ₹3,000,000.00 per year Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Experience: Full-stack development: 7 years (Required) Work Location: In person