Software Engineer

• Develop and manage small product development projects.
• Ensure adherence to product development standards.
• Develop and deliver training sessions.
• Provide feedback to junior team members.

Developer

Frontend Engineer

• Strong application development expertise on VBA, SQL/ Oracle, MS-Access, Visio, Excel Macros, Power BI
• Experience in automation at Green / Black Screens (Legacy systems)
• Understanding of software skills such as business analysis, development, maintenance, and software improvement & understanding of architecture and design across all systems
• Able to work independently with distributed development team and user base
• Strong SDLC, Agile process knowledge and implementation of best practices
• Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
• Process Map creation using Excel, PPT or Visio (As-IS and To-Be)
• Expertise in technical feasibility assessment
• Good communication skills
• Collaboration with other developers for best practices sharing

Frontend Developer

• Lead AI and ML development initiatives, managing teams and driving innovations in machine learning models and algorithms.
• Lead the AI/ML development process, design algorithms, mentor engineers, deploy AI solutions

AI & ML Development Lead – Application Development

Analytics Engineer

Senior SAS ETL Developer

Human Resources

• Partnering with business to shape the people infrastructure and culture needed to attract, engage, and retain talent
• Working closely with business leaders to drive HR programs
• Talent management, employee engagement, performance management, workforce management, and compliance
• Influencing and driving HR solutions through HR CoEs
• Implementing people policies and HR programs for the organization

Human Resource Business Partner

Security Engineer

• Guardrail Architecture: Design and implement systemic safeguards (e.g., NeMo Guardrails, Llama Guard) to prevent prompt injection, jailbreaks, and PII leakage.
• Compliance Strategy: Align AI deployments with internal data privacy policies and emerging global regulations (e.g., EU AI Act, GDPR).
• Risk Assessment: Lead red-teaming exercises and vulnerability assessments on enterprise LLMs and RAG systems.
• Monitoring Systems: Establish comprehensive observability dashboards to track hallucination rates, toxicity, and bias in production models.

Senior Manager, GenAI Governance, Security

Full-stack Engineer

• Build features, endpoints, and user interfaces that bring Generative AI tools to end-users.
• Create robust RESTful or GraphQL APIs in Python/Node.js to route user queries to the appropriate LLM pipeline.
• Develop interactive and responsive user interfaces for GenAI applications (e.g., chat interfaces, data dashboards).
• Maintain relational and NoSQL databases to log interactions, store user preferences, and cache LLM responses.

Senior Analyst, GenAI Full Stack

Analyst

• Implementation: Build and test basic to intermediate RAG systems using frameworks like LangChain or Autogen.
• Data Processing: Write Python scripts for PDF/document parsing, text chunking, and embedding generation.
• Prompt Engineering: Systematically test and version-control system prompts to achieve reliable model responses.

Senior Analyst, RAG/LLM Specialist

Engineer

• Develop AI models
• Train machine learning models
• Collaborate with other engineers
• Implement and optimize AI algorithms

Senior Cognitive Engineer

Auditor

• Follow every aspect of SOP without fail
• Complete received Audits with Quality
• To achieve Quality and production target
• Follow project related protocols and instructions
• Escalate issues, identify trends...
• Update all the logs like productivity, Clarification log, and any other logs applicable on a daily basis.
• Check with Manager /TL in case of clarifications
• All emails from Manager should be answered promptly without fail
• Problem solving skill sets
• Ensure compliance of entire team for HIPAA,OIG

Senior Coding Auditor

Manager

• Pipeline Ownership: Design and manage complex, multi-stage RAG pipelines ensuring low latency and high relevance.
• Model Optimization: Lead fine-tuning initiatives (PEFT/LoRA) for open-source models to improve domain-specific task performance.
• Advanced Evaluation: Develop automated evaluation frameworks (e.g., RAGAS) to continually measure LLM accuracy, context precision, and recall.
• Vector Strategy: Architect metadata filtering and hybrid search strategies within vector databases (e.g., Pinecone, Milvus).
• Team Mentorship: Guide junior analysts in prompt engineering, chunking strategies, and code quality.

Senior Manager, RAG/LLM Specialist

Accounts Payable

• Process vendor invoices accurately and within defined turnaround timelines.
• Perform invoice verification, matching, and validation against purchase orders and supporting documents.
• Handle vendor account reconciliations and resolve discrepancies promptly.
• Ensure timely processing of payments through various payment methods.
• Monitor and manage AP mailbox queries and respond to vendor/internal stakeholder requests.
• Support month-end closing activities and reporting requirements.
• Maintain compliance with internal controls, audit requirements, and company policies.
• Coordinate with internal departments and on-shore stakeholders for issue resolution.
• Identify process improvement opportunities and support automation initiatives where applicable.
• Maintain accurate records and documentation for audit and compliance purposes.

Assistant Manager, Accounts Payable

IT Support

• Design and deploy enterprise-grade AI solutions (LLMs, RAG, agents) by selecting appropriate models, building data pipelines, and integrating them with cloud platforms (AWS, Azure, GCP).
• Lead technical strategies, ensure scalability, manage AI security/hallucinations, and bridge business needs with engineering teams.
• System Design & Architecture: Architect end-to-end Generative AI systems, including retrieval-augmented generation (RAG) and vector data systems.
• Model Selection & Tuning: Evaluate and select cutting-edge commercial (e.g., GPT-4) and open-source models, and fine-tune models for domain-specific use cases.
• LLMOps & Pipelines: Establish LLMOps standards for model versioning, evaluation, prompt management, and CI/CD, ensuring robust, production-grade AI.
• Integration & Security: Integrate AI solutions with existing APIs, applications, and databases while enforcing security, privacy, and guardrails to manage hallucinations and adversarial attacks.
• Strategic Leadership: Collaborate with stakeholders to map business challenges to AI solutions and establish AI governance frameworks.

AVP, GenAI Enterprise Architect

Artificial Intelligence

• Lead end-to-end AI transformation engagements from discovery and design through deployment, ensuring measurable ROI and enterprise alignment.
• Develop and implement AI/GenAI strategies across business functions including finance, operations, risk, and customer experience.
• Design Intelligent Automation solutions leveraging RPA, IDP, advanced analytics, and LLM-based workflows to re-engineer core processes.
• Serve as a trusted advisor to CXOs and senior leadership; translate AI capabilities into compelling business cases and transformation roadmaps.
• Partner with technology, product, and data teams to integrate AI solutions with existing enterprise platforms and data ecosystems.
• Lead and mentor cross-functional project teams; drive concurrent AI and Automation workstreams using Agile methodologies.
• Develop AS-IS / TO-BE process maps to identify automation and AI augmentation opportunities with quantified business impact.
• Monitor and report on AI program performance; build dashboards and KPI frameworks for executive stakeholder visibility.
• Stay ahead of emerging AI trends and evaluate new tools, models, and frameworks for enterprise applicability.

AI Transformation Consultant – AVP

Financial Planning and Analysis

• Support creation of presentations, decks, and structured materials for internal and external use**
• Assist with ongoing reporting and cadence activities, including data tracking and updates**
• Help maintain and organize information in internal tools and trackers (e.g., CRM systems)**
• Conduct basic research and analysis to support business initiatives and decision-making**
• Prepare summaries, dashboards, and reference documents for reviews and discussions

EXL