OpenOpportunity Sourced Jobs — Bengaluru, Hyderabad, Pune
Full Time · On Site · Senior
Role: NLP / DL Engineering / Architect | Department: Data Science & Analytics | Industry: Banking | Education: UG: Any Graduate; PG: Any Postgraduate; Doctorate: Any Doctorate As a Vice President AI Engineer role, where you will serve as a senior engineer helping to drive adoption of state-of-the-art AI technologies. You'll use your expertise to design, build, and scale AI/ML solutions — from agentic AI systems and LLM applications to end-to-end MLOps pipelines — enabling the bank's success across multiple business units. You will shape architectural decisions, mentor engineering teams, and ensure AI solutions meet the demands of enterprise-grade reliability, security, and governance. To be successful in this role, you should have below skills: • Bachelor's degree (or above) in Computer Science, Engineering, Mathematics, or related discipline • 12+ years software engineering experience or experience designing and building scalable ML infrastructure, model serving platforms, and end-to-end MLOps systems at enterprise scale • Expert-level proficiency in Python (FastAPI, async patterns) and/or Go/Java, with demonstrable experience building production systems serving high-throughput, low-latency workloads • Strong experience developing agentic AI systems and LLM applications including multi-agent orchestration, tool use, planning frameworks, and production deployment of multi-layered AI workflows at scale • Deep technical knowledge of LLM fine-tuning, prompt engineering, RAG architectures, and modern agentic frameworks (Strands, LangGraph, Google ADK) • Hands-on experience with GenAI/LLM systems — prompt engineering, loop engineering, retrieval-augmented generation, model serving (vLLM), and OpenAI-compatible API surfaces • Experience with AWS services — EC2/EKS, S3, IAM, RDS, and at least one AI service (Bedrock, SageMaker) • Hands-on experience with Docker and Kubernetes — containerising applications and deploying to orchestrated environments • Experience with distributed systems architecture — microservices, cloud platforms, active-active replication, failover strategies, and data consistency patterns • Proven ability to communicate complex technical architectures to senior leadership and cross-functional stakeholders Some other highly valued skills may include below: • Experience building evaluation frameworks for agentic systems including agent benchmarking, reasoning traces, and monitoring/observability for multi-step AI workflows in production • Experience in vector databases, knowledge graphs, semantic search, and memory systems for stateful agents • Experience building AI safety/guardrails systems — content filtering, prompt injection detection, PII redaction, toxicity detection • Knowledge of AI security frameworks — NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10 • Experience with model fine-tuning (LoRA, RLHF, supervised fine-tuning) for domain-specific SLMs • Knowledge of responsible AI practices, model governance, and security considerations for autonomous systems • Background in financial services — understanding of regulatory requirements, data residency, and compliance obligations • Experience with policy engines (OPA/Rego) and zero-trust identity models with OAuth2/OIDC (EntraID/Azure AD) • Experience with cost attribution and chargeback models for shared AI infrastructure platforms This role is based in Bengaluru and Pune office. Purpose of the role: To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for customers and colleagues. Vice President Expectations: • Contribute or set strategy, drive requirements, and make recommendations for change; plan resources, budgets, and policies; deliver continuous improvements and escalate breaches of policies/procedures • If managing a team: define jobs and responsibilities, plan for the department's future needs, counsel employees on performance, and contribute to pay decisions • Demonstrate the LEAD behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others • Advise key stakeholders on functional and cross-functional areas of impact, manage and mitigate risk, and demonstrate accountability for strengthening controls Note: The displayed company name "Hackajob" is a recruiting platform, not the actual employer — the "About company" section confirms "hackajob is partnering with Barclays to fill this position," and the description itself is Barclays' own internal template (references to "the bank," "Vice President Expectations," and the four LEAD behaviours are Barclays-specific corporate language). Separately, there is an internal experience-requirement inconsistency: the job header/highlights advertise "6 - 11 years" of experience, but the description body explicitly requires "12+ years software engineering experience," nearly double the top of the advertised band. Originally posted on Naukri: https://www.naukri.com/job-listings-artificial-intelligence-engineer-hackajob-hyderabad-pune-bengaluru-6-to-11-years-030826016984
Artificial Intelligence, Golang, Java, Natural Language Processing, Fast API, LLM, Machine Learning, Agentic Ai, Prompt Engineering, Low Latency, AWS, ML, Python