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Claude Jobs in Silver Spring, MD (NOW HIRING)

Staff Engineer

Chantilly, VA · On-site

$120 - $190/hr

You will use AI coding assistants (e.g., Codex-CLI, Claude Code) responsibly to accelerate delivery while adhering to safe, secure engineering practices. You will also collaborate with Creative ...

New

Take an active role in managing and extending RiskSpan's existing AI-powered product features, including tools built on Claude and Claude Code, and help define the roadmap for the next generation of ...

You will use AI coding assistants (e.g., Codex-CLI, Claude Code) responsibly to accelerate delivery while adhering to safe, secure engineering practices. You will also collaborate with Creative ...

Take an active role in managing and extending RiskSpan's existing AI-powered product features, including tools built on Claude and Claude Code, and help define the roadmap for the next generation of ...

You will use AI coding assistants (e.g., Codex-CLI, Claude Code) responsibly to accelerate delivery while adhering to safe, secure engineering practices. You will also collaborate with Creative ...

Take an active role in managing and extending RiskSpan's existing AI-powered product features, including tools built on Claude and Claude Code, and help define the roadmap for the next generation of ...

Quality Engineer

Bethesda, MD · On-site

$76K - $99K/yr

Leverage AI-assisted coding tools such as Cursor or Claude to continuously build and improve automation scripts, generate test plans and test data. * Participate in sprint planning, reviews, and ...

Showing results 41-60

Claude information

See Silver Spring, MD salary details

$18.6K

$92K

$149.9K

How much do claude jobs pay per year?

As of Aug 20, 2026, the average yearly pay for claude in Silver Spring, MD is $91,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $126,100.00 per year, depending on experience, location, and employer.

What is a Claude?

Claude jobs typically refer to roles related to working with Claude, an artificial intelligence chatbot developed by Anthropic. These jobs can include positions such as AI prompt engineers, machine learning researchers, data scientists, product managers, and customer support specialists who focus on optimizing and deploying Claude for users. Individuals in these roles may work on improving the chatbot's capabilities, ensuring ethical AI use, and supporting its integration across various platforms. The demand for Claude-related jobs has grown as businesses seek to leverage advanced conversational AI solutions.

What skills and qualifications are needed to thrive as a Claude AI engineer?

To thrive as a Claude AI Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree or equivalent experience. Familiarity with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and cloud computing platforms is typically required. Creative problem-solving, collaboration, and effective communication are essential soft skills for working with cross-functional teams and translating complex research into practical solutions. These skills and qualities are crucial for developing, optimizing, and deploying advanced AI systems that meet real-world needs.

How does a machine learning engineer typically collaborate with data scientists and software developers on AI projects?

Machine Learning Engineers often work closely with data scientists to translate experimental models into scalable, production-ready solutions. While data scientists focus on data exploration and developing prototypes, ML Engineers are responsible for optimizing code, implementing robust data pipelines, and ensuring models can be deployed efficiently. Collaboration with software developers is also essential to integrate machine learning models into broader applications, ensuring seamless user experiences and system reliability. Regular cross-functional meetings and agile workflows help align project goals and address challenges collaboratively.

What is the difference between Claude vs Chatbot Developer?

AspectClaudeChatbot Developer
Required CredentialsAI/ML certifications, programming skillsProgramming, AI, UX/UI design
Work EnvironmentAI research labs, tech companiesSoftware companies, startups
Industry UsageAI language models, NLP projectsCustomer service bots, conversational apps

Claude and Chatbot Developer roles both involve AI and programming skills, but Claude typically refers to AI language models or systems, while Chatbot Developers focus on creating conversational interfaces. Claude professionals work more on AI model development, whereas Chatbot Developers design and implement user-facing chatbots. Both roles are essential in AI and tech industries, but their focus areas differ based on the project scope and end-user interaction.

What are popular job titles related to Claude jobs in Silver Spring, MD?

For Claude jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Claude jobs in Silver Spring, MD look for?

The top searched job categories for Claude jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Claude jobs?

Cities near Silver Spring, MD with the most Claude job openings:

Infographic showing various Claude job openings in Silver Spring, MD as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 68% Physical, 8% Hybrid, and 24% Remote job distribution, with an average salary of $91,973 per year, or $44.2 per hour.

Generative AI Platform Manager, Vice President

STATE STREET CORPORATION

Washington, DC • On-site

$120 - $202.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About the Role

We’re seeking a strategic, hands‑on VP to lead the design and delivery of our enterprise Generative AI platform. Primary depth required in AWS Bedrock, Azure AI Foundry, Azure OpenAI, and Databricks, with strong skills in IaC authorship, Harness CI/CD, FinOps, and AI‑assisted developer tooling. You’ll set technical direction, author production‑grade constructs, mentor senior engineers, and enable data scientists and application teams to ship Gen‑AI solutions at scale.

Key Responsibilities
  • AWS Bedrock Platform (Primary)
    • Own enterprise Bedrock strategy: model access governance, provisioned throughput, cross‑region inference, multi‑account architecture.
    • Operationalize Knowledge Bases, Agents, Guardrails, Prompt Management, Flows, and Model Evaluation.
    • Lead FM lifecycle across Claude, Nova/Titan, Llama, Mistral, and Cohere.
    • Design RAG on Bedrock with OpenSearch Serverless, Aurora pgvector, and Kendra.
    • Optimize consumption: on‑demand vs. PT, model routing, prompt caching, token efficiency.
  • Azure AI Foundry & Azure OpenAI (Primary)
    • Own Foundry hub/project architecture, model catalog governance, and quota management.
    • Lead Azure OpenAI patterns (PTU vs. PAYG, capacity planning, content filters) across GPT‑4o, GPT‑4.1, and o‑series models.
    • Architect RAG/agent workloads with AI Search, prompt flow, and Agent Service.
    • Implement Content Safety, private networking, Entra ID, CMK, and data residency controls.
  • Databricks & Data‑Centric AI (Primary)
    • Own Databricks strategy on AWS and Azure: workspace architecture, Unity Catalog, cluster policies.
    • Lead Mosaic AI adoption: Model Serving, Vector Search, Feature Store, AI Gateway, MLflow.
    • Architect fine‑tuning/pre‑training pipelines and lakehouse‑native RAG on Delta Lake.
    • Establish DBU cost controls and serverless governance.
  • Infrastructure as Code & Golden Paths
    • Author L2/L3 CDK constructs (TypeScript/Python), Bicep modules, and Terraform for multi‑cloud AI infra.
    • Codify secure‑by‑default "golden paths" enabling teams to launch Gen‑AI workloads in hours.
    • Standardize config‑as‑code, secrets management, and drift detection.
  • Harness CI/CD
    • Own Harness pipelines, templates, and delegates for Bedrock, Azure OpenAI, Foundry, and Databricks.
    • Integrate with GitOps, Terraform/CDK/Bicep, OPA policy‑as‑code, and approval gates.
    • Establish reference pipelines with linting, security scanning, model evaluation, and cost checks.
  • Developer Experience Champion
    • Build internal MCP servers exposing enterprise systems to agentic clients.
    • Define secure usage patterns for regulated environments; measure productivity impact.
  • Governance & Leadership
    • Establish security, compliance, and responsible AI controls (red‑teaming, audit logging, guardrails).
    • Build observability across CloudWatch, Azure Monitor, Databricks system tables, Grafana, Datadog.
    • Partner with Data, MLOps, Security, and Application leadership; recruit and mentor a top‑tier team.
Required Skills
  • Bedrock: Knowledge Bases, Agents, Guardrails, Flows, PT; Claude, Nova, Llama, Mistral; RAG and vector stores (OpenSearch, pgvector, Pinecone, Kendra); agent frameworks (Bedrock Agents, LangGraph, Strands)
  • Azure AI: Foundry hubs/projects, prompt flow, Agent Service; Azure OpenAI (GPT‑4o/4.1, o‑series, PTU); AI Search; Content Safety
  • Databricks: Mosaic AI, Vector Search, AI Gateway, MLflow, Unity Catalog, Asset Bundles, Delta Lake
  • IaC: CDK L2/L3 (TS/Python), Bicep, Terraform (multi‑cloud), secrets management
  • CI/CD: Harness (YAML pipelines, delegates, templates, GitOps), OPA/Rego, GitHub Actions, Azure DevOps
  • FinOps: Token/PTU/DBU governance, tagging, chargeback, capacity planning, token/model optimization
  • Dev Tooling: Claude Desktop, MCP server authoring, Claude Code, Copilot, Cursor
  • Cloud: Deep AWS + Azure (networking, IAM/Entra ID, private endpoints); Docker/Kubernetes (EKS/AKS); serverless; API design; complementary GCP/Vertex AI
  • Data: Delta Lake, Unity Catalog, RAG/fine‑tuning data pipelines, governance/lineage
  • Observability: CloudWatch, Azure Monitor, App Insights, Grafana, Arize, Datadog
  • Languages: Python (primary), TypeScript
  • Leadership: Scaling senior teams hands‑on, executive communication, owning budgets/roadmaps
Education & Experience

Bachelor’s or Master’s in CS, Engineering, or IT. 10+ years in platform/cloud/SRE engineering, 5+ years hands‑on AWS and Azure with production depth in Bedrock, Azure OpenAI/Foundry, and Databricks; 3+ years in technical leadership or people management. Financial services or regulated‑industry experience strongly preferred.

Preferred Qualifications
  • Published CDK construct libraries, Bicep registries, or Terraform modules consumed enterprise‑wide.
  • Enterprise‑scale Harness pipeline authoring and rollout.
  • Fine‑tuning/continued pre‑training experience (LoRA, QLoRA, RLHF, DPO) on Mosaic AI, Azure OpenAI, or Bedrock.
  • Model optimization: quantization, distillation, prompt caching, speculative decoding; PTU/PT capacity planning at scale.
  • Production MCP servers and Claude Desktop deployments in regulated environments.
  • Agentic frameworks (Bedrock Agents, Azure AI Agent Service, Databricks Agent Framework, LangGraph, Strands).
  • AI safety/guardrail frameworks (Bedrock Guardrails, Azure Content Safety, NeMo, Guardrails AI).
  • Measurable FinOps wins (token/DBU/inference cost reduction).
  • Open‑source contributions (CDK, Terraform providers, MCP).
  • Multi‑tenant AI platforms with chargeback/showback.
  • Board/regulator‑level presentation experience.
  • Certifications: AWS Solutions Architect Pro, ML Specialty, DevOps Engineer Pro; Azure AZ‑305, AI‑102, AZ‑400, OP‑100; Databricks Data Engineer Pro, ML Pro, or Generative AI Engineer Associate; GCP Professional Cloud Architect or ML Engineer; Harness Certified Expert; Anthropic Claude Builder or partner credentials.
Salary Range

$120,000 – $202,500 annually. The quoted range applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Benefits

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long‑term disability, and other optional additional coverages; paid‑time off including vacation, sick leave, short‑term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance‑based awards (excluding certain sales roles subject to sales incentive plans); and eligibility for certain tax‑advantaged savings plans.

Equal Opportunity Employer

We consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Job Application Disclosure

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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State Street logo

About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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