Lead design and implementation of mission-critical platform systems, APIs, and foundational architecture for AssetMark's wealth management platform.
Compensation
The Base Salary range for this position is between $165,000-$190,000. This position will also be eligible for additional variable incentive compensation and competitive benefits.
Responsibilities
Design and implement mission-critical platform features and foundational systems
Shape platform architecture through specifications and code
Build and maintain frameworks for application teams
Drive platform architecture decisions
Author technical design documents
Requirements
Bachelor's degree in Computer Science, Software Engineering, or related technical field
Nice to have: experience with regulated industries
Participates in the Bank’s Technology Development Program (TDP), a 2-year rotational training program for Bachelor degreed individuals in a technical discipline, designed to develop in-depth technical skills and gain exposure to multiple Technology departments.
Compensation
The pay range for this position is $29.57 - $43.99 per hour. The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. The range listed above encompasses all geographic locations. The pay rate specific to your location will fall within this range and is available from your recruiter.
Responsibilities
Mentor with experienced technology staff to develop in-depth technical skills in a specific technical discipline such as Software Engineering, Engineering, Architecture, Data Engineering or Cybersecurity.
Complete a series of rotations, over a set timeframe, in multiple technical disciplines beyond original discipline, to gain a broader understanding of them, how they are utilized at the Bank and how they work together to deliver solutions and services to internal and external customers.
Determine post-program assignment in one of the core areas through career path design, performance, assessment, and interest.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.
Identify risk-related issues needing escalation to management.
Requirements
Bachelor’s degree in Computer Science, Information Technology related field
Lead applications systems analysis and programming activities, establishing and implementing new or revised application systems and programs in coordination with the Technology team.
Responsibilities
Partner with multiple management teams to ensure appropriate integration of functions to meet goals and define necessary system enhancements
Resolve high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in applications programming and ensure design adheres to architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how business areas integrate to accomplish goals
Requirements
Bachelor’s degree/University degree or equivalent experience
Are you passionate about cloud platforms, intuitive developer experiences, and building tools that empower developers? Do you want to shape how developers and AI agents build on Azure? Are you excited about creating the libraries, tools, and agent experiences that make Azure easier to discover, understand, and use?
Compensation
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Responsibilities
Build and evolve tools and infrastructure for authoring, generating, validating, and maintaining high-quality Azure SDKs and client libraries.
Help shape how developers and AI agents discover, understand, and interact with Azure through experiences such as Azure MCP, Azure Skills, and Azure Developer CLI.
Design intuitive, consistent API and developer experiences across Azure SDK language ecosystems.
Apply AI and agentic technologies to improve SDK authoring, validation, developer workflows, and the overall experience of building on Azure.
Collaborate with Azure service teams to understand their needs and make it easier for them to deliver great developer and agent experiences.
Requirements
Bachelor's Degree in Computer Science or related technical field
Lead the design, prototyping, and validation of next-generation AI agents and autonomous workflows, evaluating emerging technologies and transitioning innovations to enterprise-scale.
Compensation
The salary for this position is expected to range between $194,600 and $361,400 per year.
Responsibilities
Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows.
Evaluate foundation models, agent frameworks, orchestration technologies, and developer tooling.
Develop reusable proof-of-concepts, accelerators, and reference implementations for the Agentic Factory.
Partner with AI Engineering, Platform Engineering, Product, and Architecture teams to productionize successful prototypes.
Define best practices for prompt engineering, reasoning strategies, memory architectures, evaluation, and observability.
Requirements
Bachelor's or advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline
Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions.
Responsibilities
Use AgentAI copilots and LLM tools for rapid coding, debugging, and documentation.
Develop front-end and back-end components with seamless integration.
Integrate pre-built AI services and APIs into applications implement RAG-based features where relevant.
Combine AI-assisted productivity with engineering best practices to deliver robust, scalable solutions.
Work closely with architects and AI-native specialists to ensure seamless integration and adoption.
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