ANSR is hiring for one of its clients.

About ANSR MedTech: Who We Are:

ANSR MedTech Capability Center is a new global innovation hub being established in India for a Fortune 100 Fastest-Growing Company in the MedTech sector. Built in partnership with ANSR, the center draws on ANSR’s proven experience in establishing and scaling high-performance Global Capability Centers GCCs) for leading global enterprises. ANSR MedTech center brings together world-class engineering, product, and technology talent to build next-generation healthcare platforms and solutions that power global operations.

Our Vision:

To build a next-generation MedTech capability center that powers global healthcare innovation.

We envision: High-impact innovation hubs shaping global product and technology roadmaps Centers that go beyond support functions to drive core engineering and platform development Sustainable, scalable ecosystems that nurture world-class MedTech talent Capability centers that directly influence patient outcomes worldwide At its core, the ANSR MedTech Capability Center is about enabling innovation that touches lives at scale.

Job Summary: The Staff Forward Deployed Engineer will embed directly with business, functional, and clinical stakeholders to design, build, and deploy AI and data products that solve high-value problems in the field. Combining hands-on software, data, and AI engineering with strong customer engagement, this role takes solutions from initial workshop and prototype through production deployment and adoption, closing the gap between what the business needs and what the platform delivers.

This role reports to the Director of Applied AI and operates within a multi-disciplinary delivery organization, partnering closely with applied AI engineers, data scientists, data engineers, analytics engineers, and product owners while acting as the on-the-ground technical partner to the stakeholders it serves.

About IACTO: At ANSR MedTech, the Insights & Analytics (I&A;) Center of Excellence is built as a single, integrated analytics organization with two closely partnered focus areas: Growth aligned analytics and CTO aligned analytics.

Both work together to ensure analytics drives real outcomes at enterprise scale.

Growth Aligned

Insights & Analytics:

Growth aligned I&A; teams focus on turning data into decisions.

They work closely with business leaders to understand context, analyze data, and deliver insights that directly inform commercial, product, and operational actions.

These roles are best suited for people who enjoy:

Working close to the business and stakeholders

Translating complex data into clear insights and recommendations





Driving measurable impact through analytics CTO Aligned Insights & Analytics:

CTO aligned I&A; teams focus on building and operating the data and AI foundation that enables analytics at scale.

They design, build, and maintain platforms, pipelines, models, and governance that ensure analytics is secure, reliable, and repeatable.

These roles are best suited for people who enjoy:

Building scalable data platforms and AI capabilities

Engineering high quality, production ready data solutions

Establishing standards, reliability, and long term sustainability How the Teams Work Together:

Growth defines what insights matter and how they are used

CTO enables how those insights are delivered at scale

Teams operate as one connected analytics organization, with clear ownership and shared outcomes

This model allows ANSR MedTech to deliver fast, meaningful insights while building a strong, enterprise grade analytics foundation for long term growth. Key Responsibilities:

Embed directly with business, functional, and clinical stakeholders to understand their workflows, pain points, and goals, and to identify high-impact opportunities for AI and data solutions

Run discovery workshops and working sessions with stakeholder teams, producing target-state mockups and scoping solutions in real time to lock requirements quickly

Rapidly prototype and demonstrate solutions, from proof-of-concept to working pilot, to validate value before committing to a full build

Design, build, and ship end-to-end AI and data products in the field, spanning data engineering, LLM/GenAI and ML integration, back-end services, and lightweight front-ends

Integrate solutions with enterprise data sources, platforms, and APIs, handling the realities of real-world data and systems

Own deployment and product ionization of solutions, including workplace setup, CI/CD, configuration, and hardening, so pilots become reliable, supportable products

Drive adoption in the field by onboarding and training users, gathering feedback, and iterating quickly to improve fit and usage

Act as the primary technical point of contact for the stakeholders you serve, translating fluently between business needs and engineering deliver

Instrument solutions for monitoring and support,



and establish clear handover paths to platform and product teams for long-term ownership

Feed field learnings, reusable components, and product gaps back to the core Applied AI and platform teams to strengthen shared capabilities

Uphold security, privacy, Responsible-AI, and compliance standards for every deployment in a regulated MedTech environment

Balance speed and quality, making pragmatic engineering trade-offs that deliver value rapid while keeping solutions maintainable

Collaborate with applied AI engineers, data scientists, data engineers, and analytics engineers to leverage and extend the COE's platforms, patterns, and reusable components Qualifications:

Bachelor's or master's degree in computer science, data science, engineering, or a related quantitative field, or equivalent hands-on experience

8-12 years of hands-on experience building and shipping software, data, or AI solutions, ideally in customer-facing, consulting, or embedded delivery settings

Solid full-stack engineering ability: proficiency in Python and SQL, with experience across data pipelines, APIs and back-end services, and at least lightweight front-end delivery

Hands-on experience integrating AI/ML or generative-AI/LLM capabilities into working applications (e.g., OpenAI, Claude, Gemini; RAG; prompt engineering)

Experience with cloud data and AI platforms (Azure — Databricks, Data Factory, Azure ML/Foundry, App Services — or equivalent) and CI/CD

Proven ability to work directly with business stakeholders: running workshops, gathering requirements, and translating ambiguous problems into deployed solutions

Comfort operating with autonomy and ambiguity in the field, owning solutions end-to-end from prototype to production

Excellent communication and interpersonal skills, with the ability to build trust with non-technical stakeholders and communicate technical trade-offs clearly

Willingness to travel to or embed with stakeholder teams as needed Preferred skills:

Experience in MedTech, life sciences, healthcare, pharma, or other regulated industries

Experience with agentic frameworks and orchestration, vector and retrieval stores (e.g., FAISS), and content-safety or guardrail tooling

Experience with Databricks (SQL, Unity Catalog) and the broader Azure AI ecosystem

Familiarity with data visualization/BI (Power BI) and rapid app development (Power Platform) for fast, stakeholder-facing delivery

Prior experience as a forward deployed engineer, solutions engineer, delivery/field engineer, or technical consultant, and familiarity with Responsible-AI / GRC frameworks

📌 Staff Forward Deployed Engineer - AI-28433] (Bengaluru)
🏢 ANSR
📍 Bengaluru