OneMain Financial Jobs

About the Role

We are seeking an experienced AI Engineer specializing in Agentic AI frameworks and Generative AI technologies to design and deliver end‑to‑end, enterprise‑grade AI solutions. This is a consultative, client‑facing role that combines deep technical expertise with the ability to identify high‑value use cases, articulate business impact, and implement scalable, production‑ready AI systems.

You will work closely with clients, product managers, and cross‑functional teams to build autonomous agents, multi‑agent workflows, and GenAI‑powered solutions across cloud platforms, with a strong focus on Microsoft and Azure‑based AI ecosystems.

Responsibilities

• Design and implement Agentic AI architectures for complex enterprise workflows

• Develop and deploy autonomous and multi‑agent systems with planning, reasoning, memory persistence, and secure tool execution

• Integrate Generative AI capabilities (LLMs and multimodal models) into client solutions

• Deliver end‑to‑end AI solutions, from ideation and use‑case discovery through production deployment

• Build, fine‑tune, and evaluate LLM‑based Q&A and RAG solutions using frameworks such as AWS Bedrock, LangGraph, HuggingFace Transformers, or OpenAI APIs

• Design prompt templates, retrieval strategies, and evaluation approaches to improve accuracy, factuality, and performance

• Create and support data pipelines for training, testing, annotation, and evaluation

• Extend Microsoft 365 Copilot by building custom plugins and declarative agents using Microsoft Copilot Studio, surfacing enterprise data in Teams and Office applications

• Operationalize AI solutions using Microsoft AI Foundry, including model lifecycle management, Prompt Flow evaluation, and governance

• Architect scalable deployments using Azure Container Apps, Azure Kubernetes Service (AKS), or Azure Functions

• Collaborate with product managers to translate user and business requirements into technical features

• Engage with clients to identify impactful AI use cases, define business benefits, and support AI strategy alignment

• Conduct workshops, assessments, and executive‑level discussions on AI adoption and emerging trends

• Ensure compliance with AI ethics, security, privacy, and governance standards

• Develop reusable accelerators, frameworks, and best practices for Agentic AI and GenAI

• Mentor junior engineers and guide cross‑functional delivery teams

• Stay current with advancements in Agentic AI, autonomous agents, and LLM ecosystems

Required Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field (or equivalent practical experience)

• 8–12 years of overall experience, including 3–4+ years in AI solution delivery and client‑facing consulting roles

• Strong hands‑on experience with Agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI)

• Deep expertise in Generative AI, including prompt engineering, fine‑tuning, and evaluation

• Proficiency in Python and familiarity with NLP/deep learning libraries (PyTorch, TensorFlow, scikit‑learn, HuggingFace Transformers)

• Experience building Q&A systems and RAG pipelines

• Knowledge of vector databases and semantic search concepts

• Experience with cloud AI platforms such as Azure OpenAI, AWS Bedrock, or GCP Vertex AI

• Strong understanding of MLOps / LLMOps practices and deployment pipelines

• Experience with FastAPI, Flask, or Django for production‑grade APIs

• Proficiency in SQL and NoSQL databases, including data modeling for AI metadata

• Experience deploying AI workloads using Azure Container Apps, AKS, or serverless architectures

• Hands‑on experience with Microsoft Copilot Studio, Power Platform connectors, and custom copilots

• Experience implementing Azure AI Search (vector, semantic, hybrid search) and Microsoft Fabric/OneLake

• Ability to clearly articulate business value and engage in client‑facing discussions

• Experience with Git and collaborative, cloud‑based development workflows

Nice to Have

• Microsoft Certified: Azure AI Engineer Associate or similar Azure OpenAI certifications

• Experience with enterprise‑grade security (Managed Identities, Private Endpoints, Content Safety filters)

• Familiarity with agent tracing, token usage monitoring, and observability using Azure Monitor / Application Insights

• Knowledge of Model Context Protocol (MCP) and Agent‑to‑Agent (A2A) protocols

• Experience designing interoperable, cross‑vendor agent ecosystems

What we offer:

• A competitive salary based on your qualities and experience

• NS business card to cover your commute expenses

• 25 days of paid holiday per year

• A laptop and a smartphone

• A pension scheme

• Health insurance

• Organization driven by technology – we have a tremendous technology backbone

• Access to Udemy, Cognizant Academy digital libraries for your continuous learning

• Open, ‘can do’ team spirit and international environment that encourages making your ideas reality!

Diversity and Inclusion at Cognizant

At Cognizant, we believe diversity and inclusion are at the heart of our ability to execute successfully and consistently over the long term. We recognize that our people are our most important asset. We strive to create an environment where all associates feel comfortable to be themselves, feel accepted and can therefore thrive both personally and professionally. We continue to drive D&I throughout our organization to unlock the insights, imagination and innovation of our associates, as well as reflect the diversity of our clients and communities. We are a Dutch and European Top Employer and continually drive employment recognition and engagement through employee friendly policies and affinity groups such as “Women Empowered”, “Embrace LGBTQ+” and “Race Equality Network”. For more information, see https://careers.cognizant.com/global/en/diversity-and-inclusion

Recruiter contact details

Name: Nikoletta Katona

Email: nikoletta.katona@cognizant.com

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.