You will be responsible for integrating cutting-edge AI/ML workflows, including Generative AI models, and driving innovation in both our internal projects and……
Your work will directly impact our operations, saving our managers hours of administrative work and ensuring optimal staffing across all our business locations.…
As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized……
Responsible for designing, developing, and deploying production‑grade AI/GenAI solutions, including LLM‑powered applications, RAG pipelines, and agentic……
Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions. Prior freelance/client-facing project experience is……
The engineer will work closely with product, data, security, and platform teams to create measurable business outcomes while establishing best practices for……
You’ll be building and owning AgentCore / Bedrock-based agents that can reason over CloudiQS data, call internal APIs safely, and produce outputs users can……
2 to 5 years of industry experience in GenAI Application development and deployment in enterprise applications. Strong programming skills in Python and SQL.…
The AI Developer will leverage expertise in machine learning, natural language processing, and data science to build cutting-edge AI solutions that drive……
Experience with NLP, deep learning, or time series analysis. Experience deploying models to production environments. Familiarity with MLOps practices and tools.…
The engineer will design, test, evaluate and integrate AI models into workflow automation scenarios. This role involves working on Generative AI, Prompt……
As an AI Engineer at Prevalent AI, you will independently design, build, optimize , and deploy production-grade Generative AI systems across our Exposure……
Deploy production-grade GenAI solutions following enterprise AI governance standards. Design and optimize prompts to convert business questions into accurate AI……
You will partner closely with business, data engineering, and technology teams to deliver impactful, data-driven solutions that drive efficiency, insights, and……
Beyond development, you will be responsible for multi-agent orchestration and implementing rigorous evaluation frameworks like HELM and RAGAS to ensure accuracy……
ID: 858004 2 - 5 Years 1 Opening Bengaluru Role description Gen AI - Engineer .. Internal candidate has been identified Skills Artificial Intelligence,……
Design, develop, and deploy scalable AI/ML and Generative AI solutions. Integrate structured and unstructured data sources to deliver contextual AI solutions.…
Experience working with Azure cloud services . You will be challenged to design and develop new software applications. Strong hands‑on experience with Java .…
Design and build agentic LLM solutions (single- and multi-agent patterns) to solve real business problems across domains (e.g., customer support, document……
O Experience working with [LLMs (fine-tuning, RAG, prompt design), Embeddings and vector search]. O Turn ambiguous product problems into working AI systems in……
Collaborate with product/business teams; translate requirements into robust AI solutions. 3–8 years in AI/ML/Applied ML Engineering; minimum 2 production……
For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs.…
While Oracle/Finance integrations are a core area, you'll also contribute to AI-assisted automation, and cross-functional systems that serve teams across the……
AI Architect JD: Role Description:
We are seeking a highly skilled and passionate Consulting Architect / Lead to define and deliver the end-to-end vision, architecture, and successful production deployment of complex, autonomous AI systems (Agentic AI) . This role requires a blend of strategic thinking and hands-on technical expertise to design scalable, secure, and high-performing AI/ML solutions on leading cloud platforms.
The candidate will join Cognizant’s AI Centre of Excellence ( CoE ), a strategic unit dedicated to driving our ambition to become an industry leader in AI. As part of this team, the candidate will work on high-impact, high-visibility projects that shape the future of AI-driven solutions for global enterprises. Beyond project delivery, the role offers ample opportunities for research, innovation, and the development of groundbreaking ideas that push the boundaries of AI technology The candidate must have:
Strong client-facing skills with ability to translate complex AI concepts into clear, compelling business solutions
Track record of delivering rapid POCs and transitioning them into production-ready solutions.
Deep knowledge of modern AI ecosystems: LLM and Agentic frameworks, model fine-tuning, Context engineering, vector databases, cloud AI services (AWS, Azure, GCP).
Should have an understanding of prompt/context engineering, LLM fine-tuning, and vector stores (e.g. Pinecone, FAISS, Weaviate).
Proven experience implementing observability for models (drift, accuracy, bias, and performance). The Candidate must be able to:
Serve as the authority on product rationalization, critical architectural choices, trade-offs, and technology stack selection.
Work closely with Product Owners to define requirements, Data Scientists, Business Stakeholders acting as the primary technical interface.
Lead the design and development of agentic systems. This involves selecting the right frameworks (like CrewAI, LangGraph, etc or proprietary solutions) and architectural patterns.
Engineer dynamic context using memory modules, prompt templates, and retrieval strategies.
Define and enforce guardrails and context governance across agent interactions and LLM outputs. Prioritize security by implementing secure architecture patterns
Design and automate Continuous Integration and Continuous Delivery (CI/CD) pipelines, leveraging tools like Azure DevOps, GitHub Actions, or similar systems Minimum Qualifications:
Bachelor's degree in computer science, Engineering, Statistics, Mathematics, Information Systems, or a related quantitative field (or equivalent experience) from reputed institutions
10+ years of experience in business consulting/Product management/data analysis roles with a focus on enterprise-scale data systems and tooling
Proficiency in GenAI stack and scripting language such as Python. Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, or equivalent, including designing multi-agent workflows and tool-augmented reasoning systems.
Demonstrated experience supporting AI/ML projects with relevant data analysis and business understanding
Good to have experience in working with large datasets, distributed data systems (e.g., Hive, Spark), and data visualization platforms (e.g., Tableau, PowerBI) Soft Skills:
Excellent communication and stakeholder management skills.
Ability to lead technical discussions and influence decision-making.
The minimum salary is ₹5L and the max salary is ₹8L.
₹5L – ₹8L/yr (Glassdoor Est.)
₹6L
/yr Median
Chennai
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