Principal Engineer I - Data Engg & AI

Anblicks

Hyderabad

On-site

INR 4,500,000 - 6,000,000

Full time

1 hour ago
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Job summary

Anblicks is seeking a strategic Data & AI leader with 10+ years in IT to drive enterprise Data & AI initiatives and enable business transformation. You will define technology roadmaps, build scalable architectures, and identify AI opportunities to accelerate growth.

You will engage with senior stakeholders and clients, lead strategic consulting, and contribute to presales, RFPs, and client presentations while mentoring teams and ensuring governance and security best practices.

Qualifications

  • 10+ years in the IT industry with a focus on data and AI.
  • Ability to translate business challenges into scalable technology solutions.
  • Experience leading strategic consulting engagements and presales activities.

Responsibilities

  • Define Data & AI strategies and roadmaps aligned with business goals.
  • Lead enterprise data platform design and scalable solution architectures.
  • Drive AI enablement, reusable frameworks, and accelerators across engagements.
  • Collaborate with senior stakeholders and clients to shape proposals and solutions.

Skills

Data Eng & Architecture
Cloud Technologies
AI & Generative AI
Strategic Thinking
Solution Architecture
Consulting & Client Engagement
Presales & BD
Innovation & Enablement
Leadership & Stakeholder Mgmt
Data Governance & Security

Job description

We are looking for a strategic Data & AI leader with 10+ years of experience in the IT industry to drive enterprise Data & AI initiatives and enable business transformation. The ideal candidate should have strong expertise in modern data platforms, cloud technologies, data engineering, and emerging AI capabilities. The role involves defining technology strategies, developing scalable solution architectures, and identifying opportunities to leverage AI and data for business growth. The candidate will work closely with senior stakeholders and clients to understand business challenges and translate them into technology solutions. Responsibilities include driving Data & AI enablement, leading strategic consulting engagements, evaluating emerging technologies, and building reusable frameworks and accelerators. The role also involves contributing to presales activities, solution proposals, RFP/RFI responses, and client presentations. Strong strategic thinking, business acumen, technical leadership, and stakeholder management skills are essential.

Key Skills Required
  • Data Engineering & Architecture: Strong expertise in enterprise data engineering, data architecture, data integration, data warehousing, and modern data platforms.
  • Cloud Technologies: Experience with cloud ecosystems such as Azure, AWS, or GCP and platforms like Snowflake, Databricks, and Microsoft Fabric.
  • AI & Generative AI: Strong understanding of AI/ML, Generative AI, LLMs, RAG, AI agents, and enterprise AI adoption strategies.
  • Strategic Thinking: Ability to define Data & AI strategies, technology roadmaps, and transformation initiatives aligned with business objectives.
  • Solution Architecture: Expertise in designing scalable, secure, and cost-effective enterprise Data & AI solutions.
  • Consulting & Client Engagement: Ability to engage with senior stakeholders, understand business challenges, and provide strategic technology recommendations.
  • Presales & Business Development: Exposure to presales activities, RFP/RFI responses, solution proposals, estimations, and client presentations.
  • Innovation & Enablement: Experience in developing reusable frameworks, accelerators, proof of concepts, and driving emerging technology adoption.
  • Leadership & Stakeholder Management: Proven ability to lead technical teams, mentor architects, and collaborate with cross-functional teams.
  • Data Governance & Security: Understanding of enterprise data governance, data quality, data security, compliance, and responsible AI practices.

Required Skills

Presentation Skills - Ability to represent data and tell a story generative-ai Data Analysis and Modeling Cloud Platforms Strategic Planning & Execution Gen AI (LLM's) Expainable AI/Model results Interpretation Cloud Migration and Modernization

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