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V2 Digital

Data-driven digital transformation and AI consulting

Lead Forward Deployed Engineer - Applied AI, Claude Enterprise

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedHybrid

About the Job

Requirements

  • Strong hands-on experience with Claude Cowork, including designing and implementing AI-powered workflows within enterprise environments.
  • Experience leading the implementation and rollout of Claude Enterprise or comparable enterprise AI platforms.
  • Strong financial services expertise, specifically within asset management, with an understanding of industry processes, business workflows, and technology environments.
  • Demonstrated experience delivering complex enterprise AI implementations from solution design through production deployment and adoption.
  • Strong technical expertise in enterprise integrations, APIs, cloud infrastructure, and scalable AI solutions.
  • Strong understanding of large language models, agentic AI, workflow automation, and enterprise AI implementation patterns.
  • Knowledge of enterprise security, data privacy, governance, and regulatory requirements within highly regulated industries.
  • Ability to engage and collaborate with technical and business stakeholders, including enterprise architects and technology leaders.
  • Experience guiding and mentoring engineers, supporting technical delivery and engineering best practices.
  • Strong consulting mindset, with the ability to navigate ambiguity, solve complex problems, and take ownership of customer outcomes.

Responsibilities

  • Lead the technical implementation of Claude Enterprise within a complex enterprise environment.
  • Lead the design and implementation of Claude Cowork solutions, enabling intelligent workflow automation and AI-powered productivity across business functions.
  • Work closely with customer stakeholders, translating business challenges into scalable AI solutions.
  • Contribute to technical architecture, integration patterns, and engineering best practices for enterprise-wide Claude adoption.
  • Lead the integration of Claude Enterprise with existing enterprise systems, applications, data sources, and business workflows.
  • Provide hands-on technical leadership, solving complex engineering challenges and guiding teams through implementation and deployment.
  • Ensure solutions meet enterprise security, data privacy, governance, and regulatory requirements, particularly within financial services.
  • Identify and prioritize high-value AI use cases across asset management and financial services, driving measurable business outcomes.
  • Collaborate with business leaders, architects, engineers, and delivery teams to drive successful implementation, adoption, and continuous improvement.
  • Mentor and provide technical guidance to engineers, supporting engineering capability and delivery standards.
  • Contribute to V2 AI's reusable frameworks, accelerators, and best practices across Claude Enterprise and agentic AI implementations.

Desired Qualifications

  • Experience with Claude Code, Claude APIs, and Anthropic's broader ecosystem.
  • Experience with AWS and cloud-based enterprise architectures.
  • Experience across investment management, portfolio management, investment operations, or related asset management workflows.
  • Experience supporting enterprise-wide AI transformation, adoption, and change management initiatives.
  • Experience developing reusable AI frameworks, accelerators, and engineering standards.

About the Company

V2 Digital

Data-driven digital transformation and AI consulting

V2 Digital helps organizations transform operations using data-driven consulting that covers data, software, cloud, and AI. It guides clients from strategy through implementation and co-creates with internal teams, delivering analytics, intelligent platforms, workflow automation, and custom apps. The firm differentiates itself with leadership from AWS, Google, and Microsoft veterans, rapid growth backed by a $30M investment, and AWS Advanced Partner status, while prioritizing upskilling and reducing long-term dependency. Its goal is to modernize operations, unlock data-driven growth, and deliver measurable ROI for clients.

Company size
1-10
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$19.4M
Headquarters
Sydney NSW, Australia
Founded
2023

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