Support product sales as a technical, solution, and industry domain expert within a client-facing sales team pursuing strategic enterprise customers and prospects.
Responsibilities
Support product sales as a technical, solution, and industry domain expert
Bring industry-specific expertise across Manufacturing, Retail, IT/ITES, and/or Telecommunications
Translate industry challenges into compelling solution narratives
Lead executive and technical discovery workshops
Develop and deliver compelling product demonstrations and solution experiences
Build and maintain end-to-end ML and AI pipelines, develop cloud-native services, extend MLOps framework, collaborate with data engineers and developers, implement secure architectures, participate in AI R&D, and contribute to documentation and standards.
Compensation
Pay $125,000 - $135,000
Responsibilities
Build and maintain end-to-end ML and AI pipelines for training, inference, and monitoring.
Develop and integrate cloud-native services that host, scale, and automate AI workloads.
Extend the company’s MLOps framework through infrastructure-as-code, containerization, and CI/CD practices.
Collaborate with data engineers and software developers to optimize data flows and model delivery.
Implement secure and auditable architectures that align with healthcare compliance standards.
Lead technical strategy and solution architecture for enterprise customers, integrating simulation, digital engineering, and AI workflows.
Compensation
Base Salary Range: $160000 - $240000
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
Responsibilities
Act as a trusted technical advisor to executive, engineering, and IT stakeholders at strategic and enterprise customer accounts.
Partner with Sales, account teams, and regional leadership to identify high-value opportunities.
Lead customer discovery workshops and ideation sessions.
Define and document solution vision, roadmap, value drivers, risks, and adoption strategies.
Responsible for identifying opportunities where artificial intelligence can improve decision making, streamline operations, enhance member experiences, and create measurable business value.
Compensation
PAY RANGE: $119,000 to $139,000 (I16) plus a 15% annual target bonus
Responsibilities
Identify opportunities where AI can create meaningful business value
Develop prototypes and conduct experiments to evaluate potential solutions
Design, build, test, and implement AI-enabled solutions
Collaborate with business stakeholders to validate assumptions and refine solutions
Ensure AI solutions comply with governance, security, privacy, risk management, and regulatory requirements
Requirements
Master's Degree in a scientific/engineering discipline such as computer science, data science, statistics, mathematics, engineering, artificial intelligence, physics, operations research or a related field
Nice to have: Experience within financial services, credit unions, banking, lending, risk management, compliance, operations or similar regulated industries
We are looking for a Staff Platform Engineer to contribute to the Platform solutions and infrastructure that power Forge, the AI Factory. This is a hands-on technical leadership role defining platform architecture and implementing production software.
Compensation
Pay within range listed + Bonus + Equity
Responsibilities
Build Kubernetes-native platform services: Develop and operate Kubernetes-based services, controllers, operators, deployment patterns, and runtime integrations.
Develop distributed orchestration capabilities: Design and build reusable primitives for authoring, scheduling, and scaling pipeline work.
Build reliable data-processing infrastructure: Develop platform capabilities for data storage, ingestion, validation, transformation, and governance.
Develop highly extensible platform components: Provide standardized tooling around authentication, authorization, observation, networking, routing, and secret management.
Create reference architectures: Establish recommended deployment patterns, operating profiles, capacity guidance, benchmarks, reliability practices, and distribution approaches.
Design, prototype, evaluate, and operationalize generative and agentic AI capabilities within Application Security, combining software engineering, security expertise, and AI-enabled development patterns.
Compensation
Anticipated salary range: $125,300 - $178,900
Responsibilities
Design, build, and test prototypes and production-ready capabilities using generative AI, large language models, AI agents, and multi-step agentic workflows.
Develop Python-based services, automation, integrations, evaluation harnesses, and supporting tools for Application Security use cases.
Evaluate AI-enabled security products and frameworks for vulnerability discovery, exploitability analysis, secure code guidance, remediation, validation, and developer workflow integration.
Create controlled workflows in which AI capabilities can analyze code, use approved tools, recommend or generate changes, execute tests, and produce auditable evidence while maintaining appropriate human oversight.
Establish technical guardrails for agent identity, least privilege, data access, tool use, repository access, secrets handling, logging, traceability, change control, and safe failure or termination.
Requirements
Bachelor's degree in computer science, software engineering, cybersecurity, information systems, or a related field, or equivalent practical experience.
Skills
Senior Full Stack Engineer — Agentic & External Integrations
Senior Full Stack Engineer to design and build integrations between agents and external sources, package them as tools, and evolve orchestration for multi-step agent workflows.
Compensation
$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Design and build integrations between agents and external sources
Package integrations as agent-callable tools
Own production concerns for data trustworthiness
Build and evolve orchestration for multi-step agent workflows
Contribute across the stack including FastAPI, React, Postgres, Docker
Requirements
BS degree with 8 years professional experience
Associates degree with 10 years professional experience
MS degree with 6 years professional experience
High school diploma/equivalent with 12 years professional experience
Solutions Engineer with strong Informatica platform experience and deep automation and integration engineering expertise to design, architect, and deliver end‑to‑end solutions for an enterprise data marketplace and broader data platform capabilities.
Responsibilities
Architect end‑to‑end data marketplace and data platform integrations spanning Informatica products and non‑Informatica enterprise tooling
Design scalable, secure, and reliable architectures with an automation‑first and integration‑by‑design mindset
Define reference architectures, integration patterns, and extensibility models for marketplace, metadata, governance, and data product use cases
Design and implement solutions using Informatica capabilities such as data integration, metadata management, data catalog, governance, data quality, and automation services
Configure and extend Informatica platforms to enable automated data product onboarding, discovery, lineage capture, access workflows, and marketplace interactions
An AI-Native Software Engineer focused on transforming the software development process into an AI-first model model using AI tools as a primary development partner while maintaining quality, security, and production readiness.
Locations (2)
Tampa, Florida, United States
United States
Responsibilities
Use AI-assisted development tools to generate, test, document, refactor, and improve software solutions.
Convert product and business requirements into clear technical prompts, implementation plans, and acceptance criteria.
Generate 80–90% of initial solution drafts using AI tools, then review, validate, and refine the output.
Detect and correct AI hallucinations, inaccurate assumptions, invalid code, security issues, and gaps in requirements.
Create automated tests to verify expected behavior and business outcomes.
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