Solutions Architect, Financial Services Capital Markets
- USD 152,000 to 241,500 per year
- Remote, United States
- Senior
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Customer-facing architect role helping banks and exchange firms get HPC and AI workloads running well on GPU hardware; remote-friendly with a team of quants and data scientists.
About the role
Remote work with a group of quantitative and data specialists. Success means proof-of-concepts that win designs and models that run faster on current and next-generation GPUs.
At a glance
- Pay
- USD 152,000 to 241,500 per year
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Python, PyTorch, TensorFlow, Jax, Spark, Dask, CUDA
- Posted
- 30 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Run proof-of-concepts with clients and engineers, profiling and tuning ML and deep learning models on GPU architectures
- Work alongside client ML researchers and developers on workflows and issues that matter to their business
- Write notebooks and blog posts on finance use cases such as recommender systems, GNNs, Monte Carlo simulations and quantitative finance
What they look for
- MS or PhD in computer science, electrical or computer engineering, physics, mathematics or a related engineering field, or equivalent experi
- Five or more years as an ML or software engineer writing Python and C++
- Hands-on with ML and DL frameworks such as PyTorch, TensorFlow, Jax, Spark or Dask
- Clear communication and technical presentation skills, plus sharing code through blog posts and GitHub
Nice to have
- C or C++ performance optimization work and knowledge of GPU architectures and CUDA libraries such as cuBLAS and cuDNN
- MLOps experience with containers, cluster management and data center deployments
Benefits
- Equity and benefits, with a base salary range of 152,000 to 241,500 USD depending on location and experience
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job tqm6jfkb7qQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Solutions Architect, Financial Services Capital Markets as a remote role for candidates in the United States.
What does this job pay?
The posting states USD 152,000 to 241,500 per year.
What experience is needed?
It is a senior role. The posting asks for: MS or PhD in computer science, electrical or computer engineering, physics, mathematics or a related engineering field, or equivalent experi; five or more years as an ML or software engineer writing Python and C++; hands-on with ML and DL frameworks such as PyTorch, TensorFlow, Jax, Spark or Dask. Skills it names include Python, PyTorch, TensorFlow, Jax.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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