About this role Wells Fargo is seeking a Principal AI Engineer In this role you will Act as an advisor to leadership to develop or influence applications network information security database operating systems or web technologies for highly complex business and technical needs across multiple groups Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise delivering solutions that are long-term large-scale and require vision creativity innovation advanced analytical and inductive thinking Translate advanced technology experience an in-depth knowledge of the organizations tactical and strategic business objectives the enterprise technological setting the organization structure and strategic technological opportunities and requirements into technical engineering solutions Provide vision direction and expertise to leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership Required Qualifications 7 years of Engineering experience or equivalent demonstrated through one or a combination of the following work experience training military experience education Desired Qualifications This is an individual contributor role Principal AI Engineer which is at the level of Executive Director Own the end-to-end AI ML lifecycle-design build deploy and maintain scalable agent solutions for Technology Analytics Embed Generative AI and Agentic AI into day-to-day business processes to lift efficiency and employee productivity Execute and refine the AI roadmap keeping every project tightly aligned with enterprise strategy and measurable KPIs Design autonomous AI agents capable of real-time decision-making and action with minimal human oversight Enforce best-in-class practices for model scalability reliability security and ongoing maintenance Lead R D on emerging AI tech scouting fresh use cases to keep Wells Fargo at the innovation forefront Drive cross-division rollout of AI solutions track impact and deliver tangible cost- and time-savings Serve as an AI thought leader-mentor teams champion best practices and translate complex concepts for senior stakeholders 7 years of Analytics AI or Engineering experience or equivalent demonstrated through one or a combination of the following work experience training military experience education 3 years of experience in Generative AI tech like Retrieval-Augmented Generation RAG - design end-to-end pipelines Vector DBs chunking embedding retrieval context injection to ground LLM responses on enterprise knowledge Strong software development skills particularly in Python with experience working with AI frameworks any one of Langchain Langgraph CrewAI Autogen Google ADK and tools in cloud environments Knowledge of ML NLP Information Retrieval Recommender Systems and LLMs Must have deployed role-based agent Multi Agent Orchestration teams with one of the listed frameworks Experience with container orchestration technologies Docker Kubernetes etc and cloud platforms AWS GCP or Azure Experience with training fine-tuning and applying large language models LLMs for agentic AI application Deployment MLOps -containerize inference endpoints with Docker K8s scale on AWS GCP GPU instances and automate CI CD canary releases and rollback strategies 5 years of experience with NLP Tech NLP pipelines NLTK spaCy Hugging Face BERT GPT 5 years of hands-on experience with Microsoft Power Platform Power Apps Power Automate Power BI Dataverse including solution architecture governance and deployment Working knowledge of enterprise tools like MS Copilot Studio and AgentSpace for Agentic AI with a strong understanding of prompt engineering grounding and extensibility Familiarity with Data Connectors and API gateways that support seamless communication between systems General Analytics - Data Visualization using Tableau PowerBI Strong knowledge of SQL Structured Databases Deep subject matter expertise in AI technologies including but not limited to Copilot Studio Azure AI Foundry Google Agent Space Google Gemini Microsoft 365 and M365 Copilot Traditional Data Science - classical ML and statistical modeling-linear logistic regression time-series ARIMA Prophet decision trees random forests gradient-boosting XGBoost LightGBM SVMs k-means and hierarchical clustering association-rule mining Apriori and A B testing with hypothesis-testing frameworks Ability to orchestrate processes across integrated systems to enable robust workflows and seamless operations Ability to collaborate with cross-functional teams to align technical solutions with business goals and end-user needs A strong focus on cybersecurity and risk management throughout the software development lifecycle Passion for designing solutions that prioritize end-user experience and usability Strong problem-solving skills and attention to detail in complex system design Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks Posting End Date 7 Aug 2025 Job posting may come down early due to volume of applicants We Value Equal Opportunity Wells Fargo is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other legally protected characteristic Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company They are accountable for execution of all applicable risk programs Credit Market Financial Crimes Operational Regulatory Compliance which includes effectively following and adhering to applicable Wells Fargo policies and procedures appropriately fulfilling risk and compliance obligations timely and effective escalation and remediation of issues and making sound risk decisions There is emphasis on proactive monitoring governance risk identification and escalation as well as making sound risk decisions commensurate with the business unit s risk appetite and all risk and compliance program requirements Candidates applying to job openings posted in Canada Applications for employment are encouraged from all qualified candidates including women persons with disabilities aboriginal peoples and visible minorities Accommodation for applicants with disabilities is available upon request in connection with the recruitment process Applicants with Disabilities To request a medical accommodation during the application or interview process visit Disability Inclusion at Wells Fargo Drug and Alcohol Policy Wells Fargo maintains a drug free workplace Please see our Drug and Alcohol Policy to learn more Wells Fargo Recruitment and Hiring Requirements a Third-Party recordings are prohibited unless authorized by Wells Fargo b Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

📌 Principal Ai Engineer (Telangana)
🏢 Wells Fargo
📍 Telangana