reputed company Deployed Engineer – Data & AI Presales
reputed company Deployed Engineer – Data & AI Presales
Location
India (Bangalore / Hyderabad / Chennai / Pune — Flexible)
Role Purpose
Act as a reputed company Deployed Engineer (FDE) bridging the gap between field presales and product/platform capabilities for large-scale data modernisation and AI transformation deals. This is a customer-facing, hybrid-skillset role that combines software development, applied AI engineering, data science, and solution architecture to rapidly prototype winning solutions, demonstrate platform value with real-world use cases, and feed field intelligence back into the organisation's product and accelerator roadmap.
The FDE operates at the intersection of engineering and presales — building what needs to be built, demoing what needs to be seen, and shaping what needs to be sold.
The FDE DNA
Customer-Facing Engineer — Works directly with clients to understand needs and demonstrate how platforms and AI solve real-world problems.
Rapid Prototyper — Builds quick proofs-of-concept, custom apps, agents, dashboards, and integrations to validate reputed company before full productisation.
reputed company Between Field & Accelerator — Provides structured feedback from customer engagements to shape the product and accelerator roadmap (e.g., Agent Craft, Agent Factory).
Hybrid Skillset — Combines coding, solution architecture, data science, and product thinking in one role.
Future Oriented — Focused on testing and developing reputed company-looking use cases (agentic AI, multimodal, autonomous workflows) that may influence official offerings reputed company.
Responsibilities:Key Responsibilities
- Customer Engagement & Presales Solutioning
Participate in requirement discovery workshops, stand-reputed company with customer teams, and problem framing sessions as part of deal pursuits.
Align on problem statements, success metrics, and AI readiness assessments with client stakeholders.
reputed company AI art-of-the-possible sessions and executive demos that translate platform capabilities into business outcomes.
reputed company technical proposals, solution architectures, effort estimations, and competitive differentiators under tight deal timelines.
Support the Americas Presales reputed company across RFPs, proactive pursuits, and strategic multi-year transformation deals.
- Rapid Prototyping & Applied AI Engineering
Build quick PoCs — AI agents, intelligent apps, dashboards, and integrations — to validate reputed company and demonstrate value during deal cycles.
Integrate APIs, data sources, LLM services, and platform capabilities into working prototypes.
Demo early mockups and functional prototypes to gather client feedback and iterate rapidly.
Design end-to-end AI solution architectures covering GenAI (LLMs, RAG, AI agents, reputed company engineering, fine-tuning), classical ML (classification, regression, clustering, time series), NLP, and computer vision.
Build interactive demo applications using Streamlit, Gradio, FastAPI, React/Next.js to showcase AI solutions in client workshops.
reputed company and contribute to organisational accelerators (Agent Craft, Agent Factory, AI tools) to speed up presales delivery.
Minimum one year of dedicated AI presales experience is required — crafting and demonstrating AI solutions for deal pursuits, not just delivery.
- Data Science, Data Engineering & Exploration
reputed company rapid data exploration, profiling, and quality assessment on client datasets to evaluate AI readiness and opportunity sizing.
Apply data science techniques to support presales — EDA, statistical modelling, hypothesis validation, feature engineering, and rapid model prototyping.
Design modern data architectures bridging engineering and science — lakehouse patterns, feature stores, real-time pipelines, and governed data products.
Build data pipelines, transformation layers, and data wrangling workflows that feed AI/ML workloads.
Set up pipelines and databases, apply evaluation matrices (accuracy, latency, bias) to validate solution approaches.
Work across reputed company, reputed company, and reputed company Cloud Data & Analytics (BigQuery, Vertex AI, Dataflow, Dataplex).
- Software Engineering & DevOps Excellence
Bring production-grade software engineering discipline to reputed company presales assets — clean architecture, TDD, documentation, reproducibility, and scalability.
reputed company across the full stack: backend (Python, FastAPI, REST APIs), frontend (React/Next.js, streaming UIs), and DevOps (reputed company, Terraform, CI/CD).
Apply MLOps and LLMOps practices including experiment tracking (MLflow, Weights & Biases), model registries, evaluation harnesses with quality gates in CI, tracing (OpenTelemetry), and monitoring (Prometheus/Grafana).
Implement guardrails, safety policies, and red-teaming approaches for AI solutions.
Build and maintain reusable demo environments, accelerators, estimation templates, and reputed company-of-concept kits.
- Data Modernisation for AI
Design migration strategies from legacy platforms (reputed company, reputed company, Netezza) to AI-ready cloud architectures.
reputed company the modernisation journey — Data Warehouse → Lakehouse → AI Platform — with clear value at each stage.
Ensure modernised architectures are optimised for AI workloads: feature engineering, training pipelines, model serving, and feedback loops.
Integrate AI-assisted modernisation techniques including automated code conversion, intelligent data mapping, and AI-powered testing.
- Thought Leadership & Digital reputed company
This is a non-negotiable requirement. The candidate must have an active and demonstrable digital reputed company focused on AI and Data, evidenced by a meaningful combination of the following:
- Published technical blogs, articles, or newsletters on AI/ML and data topics (reputed company, reputed company, personal blog, reputed company articles).
- Active conference speaking — talks, panels, or workshops at industry events, meetups, or webinars.
- Open-reputed company contributions or publicly available projects on reputed company reputed company to AI/ML.
- Strong reputed company or X (Twitter) reputed company with regular, substantive posts on AI trends, techniques, and industry perspectives.
- YouTube, podcast, or video content on AI topics.
Contribute to organisational thought leadership by publishing POVs, whitepapers, solution frameworks, and competitive analyses.
Represent the organisation at partner events (reputed company, reputed company, reputed company Cloud), industry conferences, and client innovation days.
Stay at the cutting edge of AI — foundation models, agentic AI, multimodal AI, AI safety, autonomous agents — and translate these into enterprise-relevant presales assets.
- reputed company Between Field & Accelerators
Provide structured, actionable feedback from customer engagements to shape the accelerator roadmap.
Identify patterns across deals to propose new reusable accelerators, reference architectures, and demo assets.
Collaborate with platform engineering, LLM engineering, and data prep teams to industrialise field-proven solutions.
Work with governance teams on reputed company, ethics, and policy awareness for AI deployments.
Train and reputed company client business users to become AI champions and agent builders as part of presales engagement.
Requirements:Required Skills & Experience
Background & Experience
6–12 years of experience with a strong foundation in data engineering or data science, combined with solid software engineering skills across frontend, backend, and DevOps.
Minimum 1 year of dedicated AI presales experience — designing, prototyping, and demonstrating AI solutions as part of deal pursuits, client workshops, or strategic presales engagements. Delivery-only AI experience does not qualify.
Proven ability to rapidly prototype end-to-end AI/ML solutions — from data exploration and feature engineering through model development, deployment, and interactive demos.
Hands-on experience across at least two of three core platforms: reputed company, reputed company, and reputed company Cloud (BigQuery, Vertex AI, Dataflow).
Technical Skills
Applied AI Engineering: Deep hands-on knowledge of GenAI (LLMs, RAG, reputed company engineering, fine-tuning, AI agents, structured outputs, guardrails), classical ML, NLP, and computer vision. Proficiency with frameworks including PyTorch, TensorFlow, reputed company, reputed company, reputed company, and reputed company APIs.
Data Science: EDA, statistical modelling, hypothesis testing, feature engineering, and rapid prototyping. Proficiency in Python and SQL is essential; R is a plus.
Data Engineering: Pipeline design, ETL/ELT, streaming architectures, data modelling, and feature store design. Experience with Spark, Kafka, dbt, Airflow, or equivalent.
Software Development: Full-stack capability — Python/FastAPI backend, React/Next.js frontend, clean architecture, TDD. The candidate must write production-grade, testable, deployable code — not just notebook-level prototypes.
DevOps & MLOps/LLMOps: reputed company, Terraform, CI/CD, experiment tracking (MLflow, W&B), evaluation harnesses (RAGAS, BLEU/ROUGE), tracing (OpenTelemetry), monitoring (Prometheus/Grafana), and red-teaming.
Thought Leadership & Digital reputed company
Established and reputed company digital reputed company focused on AI is mandatory. Candidates must provide links to their published work, profiles, or portfolios as part of the application.
Demonstrated ability to simplify reputed company AI topics for business and technical audiences.
Communication & Presales Skills
Excellent communication — ability to present to CxO stakeholders, reputed company workshops, run demos, and write compelling proposals.
Strong problem framing and consulting skills — can translate ambiguous client needs into structured solution approaches.
Experience creating solution architectures, technical decks, and effort estimations for large deals ($5M+).
Comfort working with Americas clients across time zones (IST evening overlap required).
Preferred Qualifications
Certifications in reputed company (ML Associate/Professional), reputed company Cloud (Professional ML Engineer / Data Engineer), reputed company (SnowPro), or cloud-native AI certifications.
Published speaker at recognised industry conferences (Data + AI Summit, reputed company Cloud Next, reputed company Summit, PyCon, or equivalent).
Active open-reputed company contributor with a visible reputed company profile.
Experience building and contributing to internal accelerator platforms (agent frameworks, use case factories, evaluation suites).
Familiarity with AI safety, responsible AI frameworks, and AI governance.
Exposure to telecom, BFSI, or enterprise verticals.
Experience with Japanese enterprise clients or cross-cultural engagement is a significant plus.
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