Hamdard Nagar Delhi Delhi Certified medical Jobs – 119 Open Jobs Today

Forward Deployment Engineer
Axtria, Inc. —Noida, Uttar Pradesh
- Azure
- Master's degree
- SQL
Cloud Security Engineer
ClearView Healthcare Partners —Gurugram, Haryana
- Microsoft Access
- Azure
- Windows
Cloud Engineer III (Infra/DevOps)
Insight Enterprises —Gurugram, Haryana
- Hybrid work
- Azure
- Computer Science
- DevOps
- Health insurance
5d
Business Development (US Shift)
Wildnet Technologies Limited —Noida, Uttar Pradesh
- Marketing
- Business development
- Bachelor's degree
- Health insurance
- Flexible schedule
Quick apply
Senior Data Architect
Alight —Noida, Uttar Pradesh
- Oracle
- Computer Science
- Data analysis skills
- Health insurance
- Paid sick time
Business Development Head (Web, Mobile & AI Solutions)
SynapseIndia —Noida, Uttar Pradesh
- Weekend availability
- Sales
- Marketing
- Master's degree
- Health insurance
Technical Lead (AI ML)
SynapseIndia —Noida, Uttar Pradesh
- Weekend availability
- Azure
- System design
- Databases
- Health insurance
Agentic AI Engineer III-cloud
Insight Enterprises —Gurugram, Haryana
- Azure
- Computer Science
- Master's degree
- Health insurance
Platform Engineer - Data Storage
Brevo —Noida, Uttar Pradesh
- Weekend availability
- Hybrid work
- SQL
- Linux
- Commuter assistance
- Health insurance
Quick apply

More jobs to discover

Find similar jobs that you might be interested in.

Cloud Security Engineer
ClearView Healthcare Partners —Gurugram, Haryana
Stay current on security tooling and best practices relevant to cloud security, SIEM, and endpoint protection, and share useful findings with the team.
Cloud Engineer
Zones —Noida, Uttar Pradesh
Participate in an on-call rotation to support critical ECSS-managed platforms. This role sits within our Enterprise Compute & Storage Services (ECSS) team and…
Quick apply

I want to receive the latest job alerts for certified medical in hamdard nagar delhi delhi

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

certified medical jobs near hamdard nagar delhi delhi

Cloud Engineer jobs in Gurugram, Haryana

Business Development Manager jobs in Noida, Uttar Pradesh

Ai Ml Engineer jobs in Noida, Uttar Pradesh

IT Engineer jobs in Gurugram, Haryana

Senior Data Architect jobs in Gurugram, Haryana

Purchase Engineer jobs in Bengaluru, Karnataka

Cloud Engineer jobs in Remote

Cloud Engineer jobs in Work From Home

Cloud Engineer jobs in Thane District, Maharashtra

Cloud Engineer jobs in Janakpuri, Delhi, Delhi

Junior Cloud Engineer jobs in Kolkata, West Bengal

Data Center Engineer jobs in Mumbai, Maharashtra

Platform Engineer jobs in Pune City H.o, Pune, Maharashtra

Platform Engineer jobs in Delhi, Delhi

Network Engineer jobs in Gandhinagar, Gujarat

Av Engineer jobs in Bengaluru, Karnataka

Platform Engineer jobs in Hyderabad, Telangana

Forward Deployed Engineer jobs in Mumbai, Maharashtra

Mechanical Design Engineer jobs in Kerala

Forward Deployed Engineer jobs in Remote

Forward Deployment Engineer

Axtria, Inc. -
Noida, Uttar Pradesh

Apply Now

Job details

Qualifications

Cloud infrastructure
Azure
Law
AWS Certification
Master's degree
SQL
AWS
APIs
AI
Python
Analytics

Full job description

Forward Deployment Engineer

Location

Gurgaon · Noida · Pune · Hyderabad · Bangalore

Experience

8+ years — We are hiring across all levels

Our mission: Axtria is building the pharmaceutical industry's largest Forward Deployment Engineering workforce — 1,000 certified FDEs embedded across the world's leading pharma and life sciences organizations. We are hiring across multiple levels. If you have 8 or more years of engineering, data, and AI experience in pharma or life sciences — and you have shipped production AI, not just built PoCs — we want to talk to you.

POSITION SUMMARY:-

An Axtria Forward Deployment Engineer does not advise from the outside. They deploy forward — directly into a pharma client's environment, operating on the client's data, within the client's commercial or clinical operations — and build production AI systems that real teams use. The role demands three capabilities simultaneously: the technical depth to architect and build production AI end-to-end, the pharma domain knowledge to understand why the system needs to work the way it does, and the consulting maturity to operate independently at the client without needing to be managed.

This is not a proof-of-concept role. FDEs scope, build, and ship. The seniority of your level determines the scale and complexity of the engagement you lead; the core mandate — production AI in the client environment — is the same across all levels.

KEY RESPONSIBILITIES:-

Embedded Client Delivery

Embed directly within pharma client organisations — operating as a trusted technical peer, not a vendor — and own the design, build, and deployment of production AI systems end-to-end on the client's own infrastructure

Lead the technical workstream and direct teams of engineers — Agent Pipeline Engineers and AI-Augmented Engineers — under your architecture and delivery ownership

Hold the technical client relationship at Director, VP, and CDO level: scoping problems, presenting architecture trade-offs, defending design decisions under scrutiny, and translating technical outcomes into business language

AI Architecture and Engineering

Architect multi-agent AI systems for pharma environments — spanning orchestration patterns, tool and function integration, retrieval-augmented generation, memory architectures, human-in-the-loop design, evaluation pipelines, and production MLOps

Build on the technology stacks clients already operate: Databricks (Delta Lake, Mosaic AI, Genie), Snowflake (Snowpark, Cortex AI, Cortex Analyst), AWS (Bedrock Agents, SageMaker), and the Claude and Anthropic API stack with Model Context Protocol

Design and implement AI evaluation frameworks appropriate for regulated pharma environments — probabilistic quality thresholds, RAGAS, LLM-as-judge, adversarial red-teaming, and audit-trail-compliant output governance

Ensure systems are production-grade: observable, maintainable, secure, and compliant with pharma data governance requirements including HIPAA, GDPR, and applicable FDA AI/ML guidance

Stay current with the agentic AI ecosystem — frameworks, model capabilities, evaluation techniques, and orchestration protocols — and translate emerging capability into deployment-relevant technical decisions

Pharma Domain Translation

Translate pharma commercial and clinical business problems into AI-solvable architectures without requiring a domain primer from the client — the depth of your domain expertise is part of what you bring to the engagement

Validate that AI outputs are accurate against pharma business logic and commercial or clinical norms — not just technically correct but domain-defensible and explainable to the end users who act on them

Serve as the connective layer between the client's business problem and the technical solution, eliminating the scoping ambiguity that causes most pharma AI deployments to stall before production

Programme Contribution and Methodology

Contribute to Axtria's growing library of pharma AI deployment patterns, reference architectures, and reusable accelerators — ensuring each client engagement adds to the institutional knowledge base rather than staying isolated in a single account

Identify opportunities to extend scope within existing client engagements by recognising where additional AI workstreams could unlock further commercial or clinical value

Mentor junior FDEs and AI-Augmented Engineers within your engagement team, and contribute to the technical standards and delivery methodology of the FDE programme

REQUIRED QUALIFICATIONS:-

8 or more years of experience in engineering, data engineering, analytics engineering, or AI/ML roles, with direct pharma or life sciences client exposure across a substantial portion of that tenure

Pharma domain experience is mandatory. You understand how pharma organisations work without needing orientation: commercial depth in SFE, IC design, market access, omnichannel, KAM, or patient services; or clinical depth in trial operations, CDASH/SDTM, site analytics, RWE, HEOR, or regulatory data. You do not need a pharma primer to start this role.

Production AI engineering is required — you have shipped, not just experimented. You have built AI systems that ran in production: LLM-based agents, RAG pipelines, multi-agent workflows, or clinical AI systems with real users in regulated environments. Notebooks, PoCs, and sandbox projects do not qualify for this requirement.

Strong engineering foundations: Python, SQL, cloud infrastructure (AWS, Azure, or GCP), data pipeline architecture, and API design — you write production-grade code as a matter of course, not occasionally

Depth on at least one pharma AI platform — Databricks, Snowflake, AWS Bedrock, or the Claude and Anthropic API stack — and working fluency across the others sufficient to engage in architecture trade-off discussions

Demonstrated ability to operate in direct client-facing roles at senior stakeholder level: scoping ambiguous problems, managing technical expectations, presenting architecture decisions to non-technical executives, and working independently without a delivery management layer above you

Experience working in sprint-based, high-velocity delivery cycles where scope is defined, engineered, and shipped within weeks rather than quarters

PREFERRED QUALIFICATIONS:-

Prior experience in a technology consulting, systems integrator, or AI services firm with pharma or life sciences clients — specifically in delivery roles rather than advisory

Experience leading engineering teams of three or more people across concurrent AI workstreams, with accountability for technical quality and delivery timelines

Familiarity with AI governance frameworks, responsible AI design, and pharma-specific regulatory AI considerations including FDA AI/ML Software as a Medical Device guidance, ICH guidelines applicable to AI-generated evidence, and GxP data integrity requirements

Industry certification on one or more of the following is a big plus: AWS Certified AI Practitioner (AIF-C01), Databricks Certified Generative AI Engineer Associate, SnowPro Advanced Data Engineer (DEA-C01), or Claude Certified Architect Foundations (CCA-F)

Apply Now

Refine Your Search

certified medical jobs in hamdard nagar delhi delhi

Forward Deployment Engineer

Cloud Security Engineer

Cloud Engineer III (Infra/DevOps)

Business Development (US Shift)

Senior Data Architect

Business Development Head (Web, Mobile & AI Solutions)

Technical Lead (AI ML)

Agentic AI Engineer III-cloud

Platform Engineer - Data Storage

More jobs to discover

I want to receive the latest job alerts for certified medical in hamdard nagar delhi delhi

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected