Trimont
Website:
trimont.com
Company:
https://www.linkedin.com/company/trimont-llc
Seniority: Not Applicable
Industries: Financial Services
Job details:
Overview
Founded in 1988 and headquartered in Atlanta, Georgia Trimont (www.trimont.com) is a specialized global commercial real estate loan services provider and partner for lenders seeking the infrastructure and capabilities needed to make informed, effective decisions related to the deployment, management and administration of commercial real estate secured credit.
We do this with a team of 1100+ extraordinary Team Members who serve a global client base from offices in Atlanta, Bengaluru, Charlotte, Dallas, Hyderabad, Kansas City, London, New York and Sydney. We empower our skilled global teams by equipping them with the necessary knowledge and advanced technology, as well as fostering a culture driven by values. This approach helps our teams excel and build meaningful client relationships, while providing the highest quality service and feeling proud of the work they do.
Trimont is an innovative firm where visionary professionals come to learn, grow, and thrive with colleagues driven by curiosity and collaboration.
Learn: We believe ongoing learning is critical and are focused on providing a work environment where individuals can take ownership of their careers.
Grow: We work alongside the largest institutional lenders in the world, overseeing the most significant projects in the industry. This unique opportunity allows us to broaden our skillset and develop our abilities by tackling some of the industry's most challenging and exciting endeavors.
Thrive: Our firm is a place where ethics and excellence meet to create an experience that matches our capabilities. There are no limits to what you as an individual, and we as an organization, can achieve together.
Position Overview
Lead and scale an India-based engineering team that operates, supports, and delivers enhancements for enterprise emerging technology platforms including AI/ML, automation, and digital agent portfolio. This role takes proven designs, frameworks, and POCs built by the US team and makes them production-ready at scale by hardening systems, managing releases, improving observability, running evaluation pipelines, and delivering predictable, high-quality outcomes in partnership with US leadership.
This role is ideal for someone technically fluent enough to understand AI platform architecture and debug production issues, but whose core strength is building teams, running operations, and executing delivery across time zones.
Summary
We are seeking a highly skilled and motivated Manager – Emerging Tech Platform Operations & Delivery to lead India-based platform operations and delivery execution for AI/ML, automation, and agentic workflows. You will build and manage a growing engineering team, own production operations (monitoring, incidents, SLAs), translate US priorities into sprint-ready plans, and ensure consistent delivery quality. You will also drive evaluation pipelines for AI agent output quality, maintain observability dashboards, and manage cost, governance, and security standards across the platform ecosystem.
Responsibilities
Team Build & People Leadership
- Build and manage a growing India-based team of AI/ML engineers, automation engineers, and platform engineers.
- Lead hiring, onboarding, mentoring, performance management, and retention.
- Create a culture of operational excellence, accountability, and continuous improvement.
Production Operations & Reliability
- Own production operations including monitoring, incident management, SLAs, on-call rotations, post-mortems, and runbooks.
- Drive root-cause analysis and ensure preventive actions are implemented to reduce repeat incidents.
- Improve platform stability, resilience, and performance across environments.
Delivery Management & Execution
- Receive architecture designs and priorities from the US team and translate them into sprint-ready work.
- Run Agile ceremonies, manage backlog execution, track velocity, and own delivery metrics.
- Coordinate releases and deployments; ensure predictable delivery with high quality.
Evaluation Pipelines & Observability
- Run evaluation pipelines that score AI agent outputs for accuracy, quality, and reliability.
- Maintain observability dashboards for platform health, latency, failure patterns, and cost indicators.
- Ensure feedback loops from evaluation results into platform improvements.
US ↔ India Bridge & Stakeholder Management
- Provide clear status updates, delivery forecasts, and risk flagging to US leadership.
- Coordinate cross-time-zone execution to keep delivery aligned and transparent.
- Drive clarity in priorities and ensure dependencies are tracked and resolved proactively.
Platform Sustainment & Governance
- Ensure the platform stack is sustainable and maintainable: orchestration frameworks, AI/ML pipelines, APIs, search indexing, prompt management, and storage lifecycles.
- Track cloud and LLM spend; surface optimization opportunities and enforce governance standards.
- Ensure security controls and enterprise compliance requirements are followed consistently.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 15+ years in software / AI/ML / automation platform delivery with strong engineering fundamentals.
- 5+ years managing engineering teams in an offshore model (India team partnering with US leadership).
- Technical fluency with cloud-native AI platforms including serverless compute, document intelligence/OCR, LLMs, embeddings, search, RAG patterns, API development, automation and agentic workflows.
- Strong operational mindset with hands-on experience in monitoring, incident management, SLA tracking, and continuous improvement.
- Strong delivery leadership: Agile execution, backlog translation, velocity tracking, and release coordination.
- Proven capability to hire and scale teams in India’s competitive AI/ML talent market.
- Excellent written and asynchronous communication, stakeholder reporting, and cross-geography coordination.
Nice to Have
- Azure-native experience (Azure Functions, Azure OpenAI, AI Search, Document Intelligence, App Insights).
- Financial document AI exposure (leases, loans, rent rolls) and document processing platforms.
- ML Ops / LLM Ops practices: evaluation frameworks, prompt versioning, cost monitoring, model/prompt lifecycle governance.
- Experience working in regulated or enterprise governance environments.
Trimont is an equal opportunity employer, and we’re proud to support and celebrate diversity in the workplace. If you have a disability and need accommodation or assistance with the application process and/or using our website, please contact us. Trimont is a drug-free workplace.
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