Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 10 days ago

AVP/AI Engineer

AllianceBernstein85 open roles

Where
Pune, India
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAVP/AI EngineerAllianceBernstein · Pune, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on AllianceBernstein's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. AllianceBernstein postings stay open a median of 52 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 10 days ago

AllianceBernstein median: 52 days open

The posting

Company Description

As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals, and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients’ most valued asset-management partner.

With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business, or providing thoughtful advice to clients, we’re looking for unique voices to help lead us forward. If you’re ready to challenge your limits and build your future, join us.

Who You’ll Work With:

Data Engineering team under Center of Excellence (Data Science)

What You’ll Do:

AI and Data Engineer, Agentic AI Platform

We are building a next-generation enterprise AI and data platform that enables teams to design, deploy, integrate, and scale intelligent applications and agents across investment research, portfolio management, risk, client, and operational workflows.

The platform provides standardized infrastructure, reliable data products, commercial and self-hosted model access, retrieval, agent orchestration, evaluation, observability, security, and governance. It enables teams to rapidly deliver AI-powered capabilities in a scalable, secure, and production-ready manner.

We are looking for hands-on AI and Data Engineers who can:

  • Build reliable, reusable, and AI-ready data products for investment and enterprise use cases.
  • Design and develop production-grade AI applications, agents, and intelligent workflows using Python.
  • Implement agent orchestration, tool integration, retrieval, memory, and multi-step workflows.
  • Integrate AI capabilities into enterprise applications, data platforms, and business systems.
  • Contribute to the shared AI and data platform that powers these capabilities at scale.

This role operates at the intersection of AI engineering, data engineering, agentic AI, platform engineering, and investment technology. It emphasizes Python, enterprise integration, reliable data products, security, CI/CD, observability, model and agent evaluation, and rigorous validation of production AI systems.

What We’re Looking For:

Core AI and Data Engineering

· 5+ years of experience in software, data, AI, or platform engineering.

· Strong production development experience with Python and SQL.

· Proven ability to build and operate AI applications, data pipelines, APIs, data products, and distributed systems.

· Experience integrating AI capabilities into enterprise applications and business workflows.

· Strong understanding of:

o Object-oriented and asynchronous Python

o APIs, microservices, and application integration

o Data modeling, contracts, quality, reconciliation, metadata, and lineage

o Batch, streaming, event-driven, and API-based architectures

o Workflow orchestration, distributed processing, and production operations

· Experience with cloud data and AI platforms such as Azure, AWS, Google Cloud, Snowflake.

· Ability to design scalable, reusable, resilient, and operationally supportable services.

Generative AI and Agentic Systems

Hands-on experience with:

· Large language models, embeddings, prompt engineering, context engineering, and RAG architecture.

· Commercial and open-source model APIs and ecosystems.

· AI agents, agentic workflows, reusable skills, tool calling, structured outputs, and multi-step orchestration.

· Vector, keyword, metadata-filtered, graph-based, and hybrid retrieval.

· Agent frameworks such as LangGraph, Microsoft Agent Framework, Semantic Kernel, AutoGen, Pydantic AI, or equivalent platforms.

Preferred experience includes:

· MCP servers and clients, agent-to-agent communication, and enterprise search.

· Semantic layers, ontologies, and knowledge graphs.

· Agent memory, state management, and human-in-the-loop controls.

· Document intelligence and multimodal processing.

· Reusable agent tools, skills, manifests, and registration standards.

Model Hosting and Inference

Experience with one or more of the following:

· Azure OpenAI, OpenAI APIs, Anthropic Claude, Google Gemini, or Vertex AI.

· Hugging Face, vLLM, Ollama, Qwen, or other approved open-source model technologies.

· Containerized model deployment and GPU-based inference.

· Model serving, API gateways, quantization, memory optimization, and model configuration.

· Context-window, token, concurrency, batching, throughput, and caching optimization.

· Benchmarking and monitoring model quality, latency, availability, resource utilization, and cost.

Platform Engineering, Security, and DevOps

Strong experience with:

· CI/CD, infrastructure as code, automated provisioning, and governed deployment.

· API-first and microservices architectures.

· Docker, Kubernetes, AKS, GKE, or equivalent container platforms.

· Authentication, authorization, secrets management, OAuth, managed identities, RBAC, and Microsoft Entra ID or equivalent technologies.

· Repository governance, branch protection, pull-request validation, dependency controls, and software supply-chain security.

· Metrics, distributed tracing, structured logging, monitoring, and alerting.

· Designing observable, resilient, secure, and production-ready AI systems.

Experience using AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, Codex, or comparable tools for:

· Code generation, refactoring, debugging, testing, and documentation.

· Data-pipeline, infrastructure, and CI/CD development.

· Codebase understanding, modernization, architecture extraction, and pull-request review.

· Governed development supported by automated testing, peer review, security scanning, and controlled deployment.

Candidates must be able to independently validate AI-generated code for:

· Functional correctness and test coverage

· Security and data-access risks

· Performance and scalability

· Maintainability and architectural alignment

· Dependency, licensing, and software supply-chain concerns

· Compliance with enterprise engineering standards

Evaluation, Observability, and Testing: Required

· Hands-on experience with data-quality, model-evaluation, LLM-evaluation, or AI-observability frameworks.

· Experience building:

o Model benchmarking and evaluation pipelines

o Data-quality and reconciliation tests

o Retrieval and RAG evaluations

o Agent test harnesses and scenario-based simulations

o Continuous validation and regression testing

o Production monitoring for data, retrieval, model, and agent quality

· Ability to measure:

o Data accuracy, completeness, freshness, and consistency

o Retrieval relevance and coverage

o Groundedness, factual consistency, citations, and provenance

o Tool selection, execution, and structured-output compliance

o Agent workflow success, failure, and escalation behavior

o Latency, throughput, reliability, resource utilization, and cost

· Familiarity with OpenTelemetry, OpenInference, Datadog, Arize, LangSmith, MLflow, Microsoft Foundry evaluation capabilities, or equivalent tools.

· Ability to use evaluation results to inform model selection, routing, release, rollback, and production-readiness decisions.

Location: Pune, India

Pune, India

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against AllianceBernstein's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on AllianceBernstein's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    AllianceBernstein's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.