Lead Engineer - AI Infrastructure [T500-28890]

Suffolk Global; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Suffolk Global in Bengaluru, India, seeks an experienced AI Infrastructure Engineer to build and operate scalable AI platform capabilities for autonomous agents and GenAI applications. You will collaborate with global teams to design, deploy, and scale secure AI services within a robust infrastructure framework.

The role focuses on LLMOps, observability, governance, and memory retrieval, enabling reliable, auditable AI workflows across the enterprise.

Qualifications

• Experience in AI infrastructure development
• Knowledge of LLMOps and observability
• Experience with agentic AI workflows

Responsibilities

• Build AI infrastructure to support Agentic and GenAI app developers.
• Develop runtimes with tracing, logging, and replay tooling.
• Design memory and retrieval systems for context management.
• Create secure tool/API integration layers and guardrails.

Job description

Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.

Suffolk – America’s Contractor – is a national company with more than $10 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of "Top CM-at-Risk Contractors."

About Suffolk Global:

Suffolk Global is a strategic extension of Suffolk Construction, established to unlock the full potential of a globally integrated delivery model. Based in Bangalore, India, Suffolk Global brings together world-class talent, advanced technology, and innovative processes to enhance how Suffolk designs, plans, and builds.

As a critical part of Suffolk’s long-term growth strategy, Suffolk Global enables greater speed, scalability, and technical rigor across the business. At the intersection of process standardization, AI-enabled innovation, and global talent, Suffolk Global is redefining how work is executed , embedding consistent workflows, leveraging technology to drive efficiency, and building high-performing teams aligned to Suffolk’s evolving needs.

By embedding deeply with U.S.-based teams, the platform supports high-impact work across design, digital delivery, and corporate functions. Powered by India’s exceptional talent pool, Suffolk Global is building a next-generation capability that combines deep technical expertise with a relentless focus on quality, efficiency, and continuous innovation, helping redefine what’s possible in the built environment.

About Artificial Intelligence (AI):

Suffolk’s AI team is at the forefront of redefining how AI transforms the built environment. Operating as a core part of Suffolk’s global innovation ecosystem, the team works at the intersection of construction, technology, and advanced analytics to design and deploy AI-driven solutions that address real-world challenges across jobsites and enterprise functions.

The work spans a broad range of IT capabilities, including enterprise applications, end-user support, systems integration, and platform delivery. The team helps ensure seamless connectivity across systems, reliable day-to-day operations, and a strong foundation for continued digital growth across the business.

This is an opportunity to build and scale cutting-edge AI capabilities in a highly applied environment, while helping shape Suffolk’s vision for the ‘Construction Site of the Future’ and redefining what’s possible in the built environment.

Overview:

Build and operate reusable AI infrastructure services that enable teams to develop, deploy, and scale Agentic AI and Generative AI applications securely and reliably.

This role focuses on building foundational AI platform capabilities including LLMOps, observability, governance, guardrails, retrieval systems, orchestration frameworks, and runtime infrastructure for autonomous AI agents.

Key Responsibilities:

• Build AI Infrastructure to support a team of Agentic and GenAI app developers. This including building systems for Guardrails, Observability, Governance, LLMOps, agent to agent orchestration, Traceability and other such infra elements that are unique to AI systems. This includes the following…
• Build and maintain the foundational infrastructure for agentic AI systems — including orchestration layers, tool registries, and execution environments that support multi-step, autonomous agent workflows
• Design reliable and observable agent runtimes — implement tracing, logging, and replay tooling across long-running agent sessions, with support for interrupt/resume, sandboxing, and failure recovery (e.g. LangSmith, Arize, custom OpenTelemetry pipelines)
• Own memory and context infrastructure — architect short- and long-term memory stores, manage context window strategies, and build retrieval systems that give agents reliable, low-latency access to the right information at the right time
• Develop and operate tool/API integration layers — build secure, rate-limit-aware, and schema-validated connectors that agents use to interact with external systems, ensuring safe and auditable tool execution
• Define guardrails and safety infrastructure for autonomous agents*— implement policy enforcement, output validation, human-in-the-loop checkpoints, and permission scoping to ensure agents operate within defined boundaries in production