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Forward Deployed Engineer (AI)
Forward Deployed Engineer (AI) partners with business teams to design, build, and deploy AI solutions, improving productivity and automating processes across various functions. Core technologies include Large Language Models, AI agents, and cloud platforms.
Leader, AI Hyperspecialist Solutions Engineer (Central US)
Leads a team of AI-focused solutions engineers at Cisco, designing and implementing AI-powered solutions for enterprise customers while driving revenue and customer success.
Software Engineer - AI – CoCounsel Forward Deployed Engineering
Build and deploy AI-powered legal solutions for law firms and corporate legal teams, integrating LLMs and proprietary AI with legal workflows using Python and cloud platforms.
Principal I Software Engineer
Principal Software Engineer at Sabre India leading cloud-native platform modernization, enterprise architecture, and AI adoption (GenAI, Agentic AI) using PHP, Java Spring Boot, and cloud technologies.
Lead, AI/Machine Learning Engineer
Lead the design, build, and deployment of AI/ML and Generative AI solutions at a global pension plan, using Azure AI Foundry, LLMs, and MLOps pipelines to deliver business outcomes.
IT System Administrator – AI
Maintains IT systems and deploys AI tools like MCP servers and SaaS AI features, splitting time 80% on AI enablement and 20% on traditional sysadmin work.
Data & AI Engineer
Designs and maintains cloud-based data pipelines and builds LLM-powered AI agents and generative AI applications for clients, working across the full stack from ETL to retrieval-augmented systems.
Backend Engineer (Python - AI Systems)
Backend engineer building and scaling AI-powered systems in Python, focusing on inference pipelines, model orchestration, and low-latency APIs for an AI fintech company in Singapore.
Amazon Sr Solutions Architect, Annapurna ML
Design and deploy ML solutions using AWS’s Neuron SDK, Inferentia, and Trainium accelerators for strategic customers, while driving adoption and thought leadership in cloud-based AI infrastructure.
Lead AI Engineer /Agentic AI Builder
Build and deploy autonomous AI agents to automate multi-step workflows in testing, inspection, and certification operations using LLMs, Python, and modern APIs.
Chief AI Engineer
Lead AI engineering teams to design, build, and deploy agentic AI solutions for global enterprises, focusing on production-grade LLM workflows and measurable business impact.
Sr Staff IT Software Engineer AI
Senior IT software engineer building AI-driven cloud infrastructure and automation at Palo Alto Networks, using multi-cloud IaC, Kubernetes, and LLM agents to optimize, secure, and self-heal systems.
Lead AI Solutions Architect
Lead the design, piloting, and scaling of AI solutions (e.g., generative assistants, RAG chat agents) for a global service organization, mentoring teams and aligning AI use with mission-driven goals.
Software Engineer, VP
Designs and builds enterprise-grade backend services and AI-powered applications using Java, Spring, Python, and AWS, while integrating LLMs and agentic AI workflows for a global financial services firm.
.NET Full Stack Developer
Builds and maintains AI-enhanced .NET web apps using C#, ASP.NET Core, React, and Azure OpenAI, with MS SQL Server backends in a hybrid Bengaluru role.
Manager, AI Engineering (Tester )
Leads AI quality engineering for Mastercard’s generative AI, LLM, and agentic systems, designing evaluation frameworks, red-teaming strategies, and LLMOps quality gates to ensure accuracy, safety, and reliability.
Senior AI Engineer
Senior AI Engineer at Mastercard designs and builds enterprise-scale generative AI systems, multi-agent orchestration, and multimodal pipelines using LLMs, RAG, and agentic frameworks to drive data-driven business insights.
Senior BI & AI Engineer
Build and maintain Power BI reports and Snowflake data pipelines for portfolio performance, then layer LLM-powered AI workflows on top to make financial data conversational and actionable.
Senior AI Engineer
Build and deploy AI-powered financial services features like natural-language data transformations, integration suggestions, and data-quality detection using LLM pipelines, RAG, and agentic workflows.