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DB
Deutsche Bank

AI Application Support & Enablement Engineer

Pune · Mid Level

Recently posted - highest visibilityVerified listingPosted 23h ago

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Skills required

13 listed
Term Life InsuranceHealth ScreeningsCode SnippetsSAS (Software)Application Programming Interface (API)OnboardingGoogle Cloud Platform (GCP)AWS Identity And Access Management (IAM)+5 more
Term Life InsuranceHealth ScreeningsCode SnippetsSAS (Software)Application Programming Interface (API)

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Job description

Job Description:

Job Title: AI Application Support & Enablement Engineer

Corporate Title: Analyst

Location: Pune, India


Role Description

  • Shared Application & Services defines the standardized use and further development of shared platforms and applications. As a result, SAS offers reusable, scalable, and cost‑efficient solutions for end‑to‑end business processes.
  • The AI Application Support & Enablement Engineer plays a critical role in supporting and enabling internal teams to successfully adopt and use the organization’s AI SaaS platform. This role sits between platform engineering and internal tenants, focusing on onboarding, technical support, troubleshooting, and enablement of AI applications, APIs, and services.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,

  • Best in class leave policy.
  • Gender neutral parental leaves
  • 100% reimbursement under childcare assistance benefit (gender neutral)
  • Sponsorship for Industry relevant certifications and education
  • Employee Assistance Program for you and your family members
  • Comprehensive Hospitalization Insurance for you and your dependents
  • Accident and Term life Insurance
  • Complementary Health screening for 35 yrs. and above

Your Key Responsibilities:

  • AI Platform Support – Provide day‑to‑day technical support for internal users consuming AI models, APIs, and applications on the shared AI platform.
  • Tenant Onboarding & Enablement – Support onboarding of new teams and use cases, including access setup, configuration, quotas, and usage guidance.
  • Issue Troubleshooting & Resolution – Diagnose and resolve issues related to AI application usage, model inference, API integrations, authentication, permissions, and configuration.
  • Collaboration with Engineering – Act as a bridge between platform engineering and internal tenants by triaging issues, escalating defects, and providing detailed problem context.
  • Documentation & Knowledge Base – Create and maintain user guides, FAQs, runbooks, onboarding documentation, and sample notebooks or code snippets.
  • Usage Monitoring & Insights – Monitor platform usage, errors, and limits; identify recurring issues and recommend improvements to platform stability and usability.
  • Enablement & Best Practices – Educate internal teams on best practices for using AI models, prompt design, responsible AI usage, and platform capabilities.
  • Continuous Improvement – Collect feedback from tenants and contribute to product and feature enhancements to improve developer and user experience.

Your skills and experience

  • Bachelor’s degree from an accredited college or university with a concentration in Computer Science, Engineering, or equivalent.
  • More than 2 years of relevant experience in application support, platform support, or engineering‑adjacent roles.
  • Strong understanding of APIs, REST services, and application integration concepts.
  • Familiarity with AI/ML concepts such as model inference, prompts, and evaluation (hands‑on experience is a plus).
  • Experience troubleshooting application‑level issues using logs, metrics, and monitoring tools.
  • Working knowledge of cloud platforms (GCP preferred), IAM, and basic networking concepts.
  • Ability to write scripts or utilities in Python, Java or similar languages for automation and troubleshooting.
  • Strong problem‑solving, communication, and stakeholder management skills.
  • Experience working in agile teams and collaborating with cross‑functional stakeholders.
  • Good to have: GCP Document AI, Software development experience in Java(Spring Boot), Python(FastAPI), React.

Good to have:

  • Exposure to Generative AI platforms, LLMs, or AI orchestration tools
  • Experience with notebooks (Jupyter), SDKs, or internal developer platforms
  • Familiarity with monitoring/logging tools and dashboards
  • Understanding of responsible AI, governance, or compliance considerations

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.


How we’ll support you

  • Training and development to help you excel in your career
  • Coaching and support from experts in your team
  • A culture of continuous learning to aid progression
  • A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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