Associate Director, Forward Deployed Engineering

Overview

Lead hands-on technical and engineering work on digitally enabled regulatory authoring and localization products, including AI-assisted authoring and machine translation, embedded with regulatory authors, translators, localization specialists and product teams.

What you'll do

• Build a strong understanding of regulatory authoring processes, user needs, systems, data and content flows, including clinical and regulatory document development.
• Partner directly with regulatory authors, product managers, architects, data scientists, UX specialists and software engineers to identify high-impact opportunities and translate ambiguous requirements into practical technical solutions.
• Lead rapid discovery, prototyping, user validation, solution shaping, production delivery and adoption for digital and AI-enabled authoring capabilities.
• Design and deliver scalable capabilities for AI-assisted content generation, content reuse, structured content, review and quality control, source-to-output traceability and document intelligence.
• Design and deliver localization and machine-translation capabilities, including terminology management, translation memory, quality estimation, human review workflows, feedback capture and measurable translation-quality monitoring.
• Architect Generative AI solutions using large language models, retrieval-augmented generation, semantic search, enterprise knowledge retrieval and knowledge graph patterns where appropriate.
• Design agentic authoring and review workflows, including orchestration, tool integration, guardrails and human-in-the-loop controls.
• Establish prompt engineering, prompt management, evaluation, versioning, reuse and lifecycle practices for dependable Generative AI delivery.
• Design secure, modular and reusable cloud-native architectures, APIs, microservices, event-driven integrations and data pipelines across AWS and, where required, Google Cloud Platform.
• Provide hands-on implementation support, reference architectures, design reviews, code-level guidance and reusable engineering patterns.
• Prefer enterprise and out-of-the-box capabilities over unnecessary custom solutions, documenting trade-offs where custom engineering is justified.
• Embed quality by design through automated testing, AI evaluation, grounding, hallucination controls, performance testing and production-readiness reviews.
• Drive DevOps and MLOps practices including CI/CD, infrastructure as code, automated deployment, monitoring, alerting, model/service observability and release governance.
• Ensure architecture and engineering decisions meet requirements for security, privacy, reliability, scalability, cost, validation, auditability and operational resilience in a regulated environment.
• Implement Responsible AI and AI governance controls, including risk assessment, explainability, transparency, human oversight, monitoring and regulatory readiness.
• Mentor engineers within the Hyderabad Technology Centre and strengthen modern software engineering, AI engineering and AI-assisted development practices.
• Create and maintain technical documentation, reference implementations, decision records and reusable assets.
• Act as a trusted technical bridge across Regulatory, Product, Architecture, AI/Data Science, Security, Quality and Engineering teams, with accountability for measurable business outcomes.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• Significant experience in software engineering and solution architecture, with demonstrated technical leadership delivering complex enterprise platforms and products into production.
• Proven ability to lead multidisciplinary, globally distributed engineering teams and provide technical direction across architecture, engineering, AI and cloud technologies.
• Strong expertise in Python and modern backend engineering, including REST APIs, microservices and service-oriented architectures.
• Demonstrated experience architecting and delivering production-grade Generative AI solutions using LLMs, embeddings, RAG, vector/semantic search and prompt-driven workflows.
• Strong understanding of agentic AI architectures, including workflow orchestration, tool use, guardrails, human-in-the-loop controls and evaluation.
• Experience designing solutions involving structured and unstructured data, document processing, metadata, enterprise search/retrieval and scalable data pipelines.
• Experience with localisation or language technologies, including machine translation, multilingual NLP, terminology management, translation memory, automated quality evaluation or human-in-the-loop review.
• Strong experience with AWS and/or Google Cloud Platform and cloud-native architectures, including containers, Kubernetes and serverless patterns.
• Strong understanding of DevOps and MLOps engineering practices, including Git-based development, CI/CD, automated testing, deployment, monitoring and observability.
• Demonstrated ability to make architecture and engineering trade-off decisions across scalability, performance, security, reliability, maintainability, cost and speed of delivery.
• Ability to establish secure, resilient and compliant engineering solutions, including identity and access management, encryption, logging, auditability and operational controls.
• Strong understanding of AI evaluation, grounding, Responsible AI, model/service observability and AI risk controls.
• Ability to translate ambiguous business problems into technical strategy, architecture and executable engineering plans, working closely with Product, Business, Architecture and Engineering stakeholders.
• Demonstrated ability to influence senior stakeholders, drive technical decisions and lead engineering teams through complex transformation and delivery.

Nice to have

• Secondary skills: TypeScript/JavaScript, React, Vector Databases, Knowledge Graphs, Kubernetes, Infrastructure as Code, AI Observability/Evaluation, Enterprise Security, Veeva Vault and regulated life-sciences technology experience.

Details

• Location: Hyderabad, Telangana, India (Hitec City Raidurg).
• Work arrangement: Hybrid.
• Relocation: Domestic. Visa sponsorship: No. Travel: No travel required.
• Employee status: Regular.
• Posting end date: 11/2/2026.