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NTT Data

Global IT services and consulting provider.

Forward Deployed Engineer

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in Solution Architecture, Technology Consulting, AI Engineering, Customer Engineering, or related disciplines.
  • Experience designing and delivering enterprise technology solutions.
  • Strong understanding of Generative AI, Agentic AI, and modern AI architectures.
  • Experience with retrieval-augmented generation, agents, multi-agent systems, and enterprise integration patterns.
  • Familiarity with AI governance, security, compliance, and Responsible AI principles.
  • Strong communication, facilitation, and stakeholder management skills.
  • Experience working directly with enterprise customers and senior stakeholders.
  • Ability to balance business value, technical feasibility, governance requirements, and delivery constraints when shaping AI solutions.
  • Deep expertise in at least one major hyperscaler: Microsoft Azure, Amazon Web Services, or Google Cloud Platform.
  • Working knowledge of multi-cloud architectures and AI platform capabilities.
  • Understanding of cloud-native AI services, enterprise data platforms, and modern integration patterns.

Responsibilities

  • Lead the design of enterprise-grade AI solutions and guide customers through architecture decisions aligned with business and technology strategies.
  • Define architecture blueprints and solution patterns.
  • Evaluate trade-offs across models, frameworks, and platforms.
  • Guide enterprise architects and engineering teams through design decisions.
  • Establish scalable and reusable implementation approaches.
  • Conduct discovery workshops and use-case assessments.
  • Evaluate the customer's existing technology landscape and approved toolset.
  • Build prototypes using available enterprise platforms and AI capabilities.
  • Develop proofs of concept and proofs of value.
  • Validate technical feasibility, business value, and adoption potential.
  • Define implementation roadmaps for successful prototypes.
  • Partner with engineering teams to industrialize and scale approved solutions.
  • Define AI governance approaches and guardrails.
  • Embed Responsible AI principles into solution design.
  • Align solutions with security requirements, compliance obligations, privacy standards, data governance policies, and AI risk management practices.
  • Support architecture assurance and governance reviews.
  • Challenge implementation approaches where necessary.
  • Review solution readiness for production deployment.
  • Provide architectural guidance on operational and support considerations.
  • Help teams navigate the transition from prototype to production.
  • Advise customers on platform and model selection.
  • Evaluate deployment options based on business and technical requirements.
  • Design solutions that remain portable and adaptable.
  • Support multi-cloud and cross-platform AI strategies.
  • Facilitate business and technology discovery workshops.
  • Assess current-state technical and functional ecosystems.
  • Identify and prioritize AI opportunities.
  • Develop business cases and value realization approaches.
  • Create transformation roadmaps and implementation plans.
  • Present recommendations to technical and executive stakeholders.
  • Build trusted relationships with customer leadership teams.
  • Serve as a trusted technical advisor throughout the customer AI adoption journey.
  • Facilitate discussions across business stakeholders, architects, platform teams, and engineering leadership.
  • Identify high-value AI opportunities for customers.
  • Rapidly validate ideas using prototypes and experiments.
  • Design scalable and governable AI solutions.
  • Influence architectural and implementation decisions.
  • Build credibility with business and technical stakeholders.
  • Help delivery teams scale successful solutions into production.
  • Drive measurable customer outcomes and adoption.

Desired Qualifications

  • Experience with agent development and orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, or CrewAI.
  • Experience with Azure AI Services or Foundry.
  • Experience with AWS Bedrock.
  • Experience with Vertex AI.
  • Experience with Databricks.
  • Experience with Snowflake.
  • Experience with Copilot Studio.
  • Experience with Power Platform.
  • Experience with enterprise search and knowledge management platforms.
  • Experience with ProCode and NoCode development approaches.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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