🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Location: Remote Employment Type: Full-Time Job ID: 00070289401 About The Role As a Senior AI/ML Engineer, you will design, build, and deploy enterprise AI solutions leveraging LLMs, Agentic AI, and RAG architectures. You will collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI applications. In This Role, You Will Build AI solutions using LLMs, agents, and RAG frameworks. Design scalable AI architectures with workflow orchestration, memory, and state management. Evaluate AI systems for quality, hallucinations, regression, and agent effectiveness. Integrate enterprise data sources and develop intelligent AI workflows. Deploy and manage AI applications using LLMOps/MLOps best practices. Work Model We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. We support a healthy work-life balance through our wellbeing programs. What You Need To Have To Be Considered 8+ years of experience in AI/ML, Data Science, or Software Engineering. Strong understanding of machine learning algorithms, evaluation metrics, and model validation techniques. Expertise in Agentic AI concepts, including LLMs, RAG, memory, reasoning, and prompt engineering. Hands-on experience building AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, or similar platforms. Experience with Python and AI frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex. Proven experience evaluating AI systems, detecting hallucinations, and measuring model performance. Knowledge of scalable architecture, workflow orchestration, and AI governance. Experience deploying production AI solutions using MLOps/LLMOps practices. These Will Help You Stand Out Experience with multi-agent systems and advanced orchestration frameworks. Cloud expertise in Azure, AWS, or Google Cloud. Knowledge of AI security, compliance, and responsible AI practices. Experience in regulated industries such as healthcare, insurance, or banking. Relevant AI, ML, or cloud certifications. Salary And Other Compensation Applicants will be accepted till 9/18/2026 Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship. Please note, this role is not able to offer visa transfer or sponsorship now or in the future* The annual salary for this position will be in the range of $132,000 - $150,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! Apply Now!
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.