1,000+ matching jobs for “Software Engineering Tech Lead”

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Citigroup

Prime Brokerage Tech Development Lead - (SVP)

London United Kingdom

Prime Brokerage Tech Development Lead - (SVP) About Citi Engineer the future of global finance. At Citi, our Tech team doesn’t …

Added Nov 3, 2026

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Caterpillar

Lead Software Engineer

Košice, Košice Region, Slovakia

… nce to join and support digital in novatio n for a global leader in heavy machinery! What will you do? As Lead Software Engineer you will be a hands ‑ on tech nical lead er responsible not only for delivering features, …

Added Oct 27, 2026

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KLA

Senior Algorithm Developer / Tech Lead

Migdal Ha‘Emeq, Northern District, Israel

Full time
Regular

… of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Optical …

Added Oct 15, 2026

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Merck (MSD)

Associate Director, Commercial AI – Tech Lead

Hyderabad, Telangana, India +1 location

Associate Director — Commercial AI – Tech Lead, Digital Human Health Job Description This role sits within the Commercial AI vertical of Digital …

Added Oct 16, 2026

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Capital One Financial

Senior Manager, Software Engineering

Toronto, Ontario, Canada

Pay posted by employer$202,400–$231,000 per year

As a Capital One Senior Manager, Software Engineering , you’ll bring your unique and extensive experience, perspective and strong communication …

Added Oct 27, 2026

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Danaher

Sr Manager, Software Engineering

Bengaluru, Karnataka, India

Regular

… career. Learn about the Danaher Business System which makes everything possible. The Senior Manager, Software Engineering is responsible for leading engineering teams across a complex product and platform area, …

Added Oct 15, 2026

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Walmart

Senior Manager, Software Engineering

IN KA BANGALORE Home Office PTPP2

… Technology focuses on building Supply chain solutions for customers, operators and sellers. What You’ll Do Lead and manage a team of engineers, providing guidance and mentorship. Oversee the design, development, and …

Added Oct 27, 2026

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Johnson & Johnson

Logic Designer and FPGA Tech Lead

Yokneam, Haifa District, Israel

Full time
Regular

… more at https://www.jnj.com/medtech We are searching for the best talent for a Logic Designer and FPGA Tech Lead role, to join our team located in Yokneam, Israel. Purpose: We are seeking an experienced L ogic …

Added Oct 15, 2026

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Capital One Financial

Senior Director Software Engineering

McLean, Virginia, United States +2 locations

Senior Director Software Engineering As a Senior Director, Full-stack Engineer at Capital One, you will lead high-performing …

Added Oct 27, 2026

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GE HealthCare Technologies

Senior Director, Software Engineering

IND19-01-Bengaluru-EPIP 122 (Phase II)

Summary We are looking for a visionary, hands-on software leader to head our CT Software Engineering organization in Bangalore. In this role, you will shape how our …

Added Oct 30, 2026

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Comcast

Sr Manager, Software Engineering

Reston, Virginia, United States

Pay posted by employer$171,515.38–$257,273.07

The Senior Manager of Software Engineering will lead the Audience Manager engineering team within FreeWheel’s Audience & Measurement …

Added Oct 31, 2026

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Merck (MSD)

Associate Director, Software Engineering

USA - Pennsylvania - West Point +1 location

Pay posted by employer$142,400–$224,100

… with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on …

Added Oct 18, 2026

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Nvidia

Tech Engagement Lead, AI Labs - EMEA

France, Remote +1 location

NVIDIA is seeking a technically strong Technical Engagement Lead to work with frontier AI labs and model builders. This role will deepen the integration of NVIDIA’s …

Added Oct 27, 2026

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State Street

Tech Lead (Full Stack), Vice President

Quincy, Massachusetts, United States +1 location

Full time

Pay posted by employer$120,000–$217,500

Engineering leadership Lead the modernization engineering team that rebuilds critical middle office applications as …

Added Oct 27, 2026

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Visa

Director; Software Test Engineering

Manila, National Capital Region, Philippines

… for developing, applying, and maintaining quality standards for Visa products. Develops and executes software test plans. Analyzes and writes test standards and procedures. Maintains documentation of test results. …

Added Oct 27, 2026

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Visa

Director, Software Test Engineering

Bogotá, Bogota D.C., Colombia

Added Oct 27, 2026

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Capital One Financial

Senior Lead Software Engineer

Bengaluru, Karnataka, India

- Senior Lead, Software Engineering As a Senior Lead (Software Engineering), you will be the technical authority …

Added Oct 27, 2026

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Dover

Lead Embedded Software Engineer

Cypress, California, United States

Bridge the space between coding and company leadership. As our Software Engineering Lead, you will partner directly with the Director of Engineering to mentor our software team, …

Added Nov 3, 2026

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Capital One Financial

Lead Software Development Engineer - Services

London, England, United Kingdom

… good by bringing humanity, ingenuity and simplicity to banking. Sitting at the core of such values is our Software Engineering department whose primary role is to be an enabler of our ambitions. Capital One is looking for …

Added Oct 27, 2026

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Applied Materials

Lead C++ Software Engineer

Reẖovot, Central District, Israel

Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the …

Added Oct 27, 2026

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Merck (MSD)

Associate Director, Commercial AI – Tech Lead

Hyderabad, Telangana, India +1 more

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Required Experience and Skills · employer excerpt

8+ years in relevant experience across software engineering, ML engineering, MLOps/LLMOps, or AI product engineering, with hands on experience of production deployments at scale.
4+ years leading teams and driving delivery across multiple stakeholders; proven ability to mentor and raise engineering standards.
Strong hands-on proficiency in Python, API/service development, and modern engineering workflows (Git, code reviews, CI/CD).
Proven experience implementing LLM applications and/or AI agents in production, including evaluation and monitoring.
Strong cloud-native foundation (Azure/AWS/GCP): containers, orchestration, automated testing, release discipline, and operational excellence.

2 more in the full description below.

About this opportunity

Original employer description

Job Description

Associate Director — Commercial AI – Tech Lead, Digital Human Health

Job Description

This role sits within the Commercial AI vertical of Digital Human Health (DHH), which is responsible for building and scaling AI capabilities across cross-functional teams and divisions. The team operates as an embedded strategic partner to the commercial organization, providing thought leadership and delivering AI-powered solutions to marketing and cross-functional stakeholders. It shapes demand by translating business priorities into scalable AI products and agent-driven solutions that enhance decision-making and drive measurable business impact.

Role Overview

As the Associate Director – Commercial AI Tech Lead, you will define and lead the technical vision, architecture, and engineering execution for AI and Agentic AI products supporting our company’s Commercial use cases in India. You will play a pivotal role in building and scaling enterprise-grade AI solutions, including LLM-powered and agent-based systems, from rapid prototyping through production deployment.You will establish robust engineering foundations, including reusable frameworks, SDKs, and best practices across LLMOps/MLOps, while ensuring governance, scalability, and compliance. This role requires close collaboration with commercial stakeholders, product and program leaders, enterprise architecture, and risk, security, and privacy teams to deliver impactful, business-aligned solutions.

Key Responsibilities

Own the reference architecture for Commercial AI + Agentic AI solutions, including patterns for RAG, orchestration, tool integration, identity, and observability across environments.
Lead end-to-end delivery: discover → design → build → deploy → monitor → iterate; ensure production readiness (performance, reliability, security, cost).
Engineer and ship agentic workflows (planning/reasoning, tool/function calling, reflection, memory patterns, guardrails) and harden them into enterprise-grade services.
Establish LLMOps/MLOps operating practices: versioning/registry, automated evaluation, safe rollout/rollback, monitoring, and continuous improvement loops.
Build and maintain reusable capabilities (templates, SDKs, integration patterns, deployment scaffolds) that accelerate delivery across multiple commercial products/teams.
Drive governance and risk controls in partnership with security/privacy/legal: responsible AI, data privacy, auditability, human-in-the-loop controls, and policy-based enforcement where needed.
Implement evaluation & quality frameworks for LLM/agent systems (offline + online), including guardrail testing, prompt/retrieval regression tests, and business KPI alignment.
Own observability for AI services: tracing across prompt → retrieval/tool calls → response, cost/usage dashboards, incident triage, postmortems, and reliability improvements.
Optimize latency, quality, and cost trade-offs through caching, prompt/RAG tuning, model routing, and systematic performance benchmarking.
Partner with business/product leaders to translate commercial problems into well-scoped AI roadmaps, measurable outcomes, and scalable platform components.
Ensure solutions align with SDLC + validation expectations appropriate for regulated environments; embed documentation and controls into delivery.
Mentor and lead engineers/data scientists: design reviews, coding standards, coaching, hiring input, and building a high-performing delivery culture.

Technical Expertise

Agentic AI

Hands-on experience designing multi-step agents with planning, tool/function calling, orchestration, and reflection loops.
Strong understanding of memory patterns (short-term, long-term, episodic), grounding strategies, and failure-mode handling (loops, hallucinations, tool errors).
Ability to implement guardrails: policy enforcement, prompt injection defenses, tool-use constraints, HITL checkpoints, and safe fallbacks.
Expertise in agent evaluation: task success scoring, trajectory analysis, tool-call accuracy, safety checks, and regression automation.

LLM Engineering

Proven experience with prompt engineering patterns, structured outputs, and reliability techniques (self-checks, constrained decoding, schemas).
Deep practical knowledge of RAG: ingestion, chunking, embeddings, vector search, reranking, context assembly, and grounding metrics.
Understanding of embeddings and vector databases and how to tune retrieval for precision/recall in enterprise settings.
Awareness of fine-tuning approaches (when/why; trade-offs) and model selection strategies for regulated enterprise use.
Strong focus on latency/cost optimization and observability for GenAI systems (tracing + cost controls + quality monitoring).
Experience with Enterprise AI engine – DataBricks AIBI, DataIku AI and Others
Architecture, Integration & Platform Thinking
Ability to define reference architectures for commercial AI solutions and scalable design patterns for multiple products/markets.
Experience integrating AI/agent services with enterprise applications/APIs, authentication/authorization, logging, and audit trails.
Strong cloud-native engineering: containers, orchestration, CI/CD, infrastructure automation, and reliability practices.

Governance, Risk & Responsible AI

Working knowledge of model governance: documentation, validation, monitoring, auditability, and human oversight suitable for regulated environments.
Data privacy/security-by-design: access controls, encryption, secure secrets, and collaboration with InfoSec for audits and risk management.

Education Requirements

Masters (or equivalent) in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Statistics, Engineering, or a related quantitative discipline with strong focus on AI/ML and modern data systems.

Required Experience and Skills

8+ years in relevant experience across software engineering, ML engineering, MLOps/LLMOps, or AI product engineering, with hands on experience of production deployments at scale.
4+ years leading teams and driving delivery across multiple stakeholders; proven ability to mentor and raise engineering standards.
Strong hands-on proficiency in Python, API/service development, and modern engineering workflows (Git, code reviews, CI/CD).
Proven experience implementing LLM applications and/or AI agents in production, including evaluation and monitoring.
Strong cloud-native foundation (Azure/AWS/GCP): containers, orchestration, automated testing, release discipline, and operational excellence.
Demonstrated capability to establish reusable frameworks/SDKs, integration patterns, and scalable operating models for AI delivery.
Excellent stakeholder communication: ability to explain trade-offs, risks, and outcomes clearly to technical and non-technical audiences

Required Skills:

Business Intelligence (BI), Coding Best Practices, Computer Science, Cost Controls, Database Design, Data Engineering, Data Modeling, Data Privacy, Data Science, Data Visualization, Digital Healthcare, End to End Management, Enterprise Architecture (EA), Infrastructure Automation, Machine Learning (ML), Operational Excellence, Reference Architectures, Responsible AI, Software Development, Stakeholder Communications, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

10/23/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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