AI Modeler

Roles & Responsibilities

We are modernizing core automation platforms that sit at the heart of our financial operations processing — systems that handle high-volume document intelligence, transaction risk assessment, and intelligent workflow routing. You will be a key technical contributor on a high-visibility initiative, working alongside a Senior AI Engineer to migrate these platforms from traditional machine learning to Amazon Bedrock Foundation Models. The work directly impacts operational efficiency, compliance confidence, and the speed at which our teams can process and settle client transactions. This is a production-grade AI engineering role at the intersection of financial services and cutting-edge cloud AI — with real business outcomes tied to what you build. This is a 100% hands-on individual contributor role. You will be writing code, building pipelines, and shipping to production. As one of the most experienced engineers on the team in this space, you will also be expected to mentor junior and mid-level engineers, sharing knowledge through pairing, code review, and hands-on guidance.

Qualifications

• Must Have: 10+ years of software engineering experience with Python as your primary language
• Hands-on experience with Amazon Bedrock — model invocation, Agents, Knowledge Bases, and Guardrails
• Experience with prompt engineering — designing, versioning, and evaluating prompts in a production context, not just experimentation
• Familiarity with LLM evaluation patterns: ground truth datasets, accuracy measurement, regression testing for model outputs
• Strong AWS fundamentals: Lambda, S3, SQS, SNS, EventBridge, CloudWatch, IAM, Secrets Manager
• Comfortable working with structured and unstructured document formats (PDF, Excel, DOCX) and document intelligence pipelines (AWS Textract or equivalent)
• AWS ML certification is a plus; a demonstrated track record working with Bedrock and Foundation Models in production carries equal weight
• Understanding of how to build observable AI systems — logging model inputs/outputs, tracking token costs, detecting accuracy drift in production
• Nice to Have: Experience with traditional ML frameworks (PyTorch, scikit-learn) — helpful for understanding what is being replaced
• Background in high-stakes operational domains — financial services, insurance, healthcare, or any environment where data accuracy and auditability are non-negotiable
• Experience with PostgreSQL, and event-driven Lambda architectures
• Prior work on parallel-run or shadow-mode validation patterns for AI system migrations

Benefits

TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $130,000 - 160,000 a year