High-potential, ambitious entry-level Forward Deployed Engineers to bridge technical execution with client-facing solutions, pairing with a senior solutions architect to build, scale, and deploy production-ready AI solutions.
Compensation
$80k–$100k Base | $90k–$140k Total OTE (includes quarterly performance bonuses) + Equity
Responsibilities
Rapidly adapt to new technology stacks, AI tools, and enterprise workflows to build robust client solutions
Pair with senior solutions architects and collaborate closely with cross-functional teams and clients using clear, effective technical communication
Participate in regular technical discovery sessions, client-facing technical workshops, and scoping requirements to transition prototypes from proof-of-concept to production
Requirements
Bachelor’s degree in computer science, Engineering, Mathematics, Management Information Systems, Economics, or related fields
Master’s degree in computer science, Engineering, Mathematics, Management Information Systems, Economics, or related fields
Drive an organization-wide AI-first transformation, connecting business strategy, product innovation, and engineering excellence, shaping the AI vision and overseeing the development of innovative AI-powered digital products.
Responsibilities
Define and drive the organization's AI strategy in collaboration with Staff and Principal Engineers
Lead and coordinate AI teams, establishing product development frameworks, quality standards, guardrails, evaluation processes (evals), and performance monitoring metrics
Facilitate discovery workshops, innovation sessions, and customer journey mapping to identify opportunities and design AI-powered product solutions
Oversee the end-to-end delivery lifecycle of AI initiatives, ensuring alignment with business objectives, stakeholder expectations, and organizational priorities
Establish and promote best practices for generative AI assistants, LLMs, RAG architectures, autonomous agents, and model validation processes
Requirements
Nice to have: AI team building and operations from the ground up
Build and operate the AI platform that powers every agent at Polygon Labs, including agent runtime, MCP servers, guardrails, evaluations, observability, and spend tracking.
Responsibilities
Move agentic workflows into production, taking prototypes to robust systems for real users and owners
Build and manage MCP servers, including system design, hosting, security, authentication, and connector inventory
Develop autonomous agents that act and plan across tools through trust stages
Embed guardrails into the platform, providing each agent its own identity, scoped credentials, audit logs, CI checks, approval gates, allowlists, and least-privilege access
Build evaluation frameworks so every agent releases with quality metrics tied to business outcomes
Design, build, and deliver cloud-scale cryptographic security solutions for Microsoft’s Project Compass, focusing on cryptographic asset discovery, risk assessment, and post-quantum readiness.
Locations (2)
Tel Aviv, Tel Aviv, Israel
Herzliya, Tel Aviv, Israel
Responsibilities
Design, implement, and support cloud-scale services for cryptographic asset discovery, risk assessment, posture management and remediation.
Build AI-driven and agentic capabilities that identify, prioritize, and remediate cryptographic risks and speed up post-quantum readiness.
Collaborate with engineers, security researchers, product managers, and cross-functional teams across Microsoft to deliver high-quality features, drive innovation, and meet project goals.
Continuously learn and apply new technologies to improve services.
Contribute to the team's engineering practices and culture as an early member of a new group.
Build RESTful, highly scalable cloud-native services in Go and TypeScript for DigiCert Quantum Central, owning features end-to-end and driving AI-native engineering practices.
Compensation
$135,000—$170,000 USD
Responsibilities
Build RESTful, highly scalable cloud-native services in Go and TypeScript
Own features end-to-end: design, implementation, testing, deployment, and observability
Use AI coding agents as a native part of daily workflow
Design and ship software using agentic AI workflows: LLM orchestration, autonomous pipelines, and AI-assisted product features
Collaborate with engineers, product managers, and security researchers to build PQC readiness tooling
Requirements
Bachelor's degree in Computer Science, Information Systems, or equivalent industry experience
Lead and shape complex programs at the intersection of foundational models, AI agents, and scientific research within DeepMind’s SSI Initiatives Unit.
Responsibilities
Lead and shape complex programs at the intersection of foundational models, AI agents, and scientific research within DeepMind’s SSI Initiatives Unit
Act as a trusted thought partner to research, engineering leads, product managers, and the wider program management team
Help navigate the deep ambiguity inherent in breakthrough scientific research through strong program definition, execution, and technical delivery
Drive the integration of autonomous agents, reasoning loops, and sandboxed research tooling into scientific workflows
Collaborate across research pillars, from biology and quantum chemistry to automated theorem proving and compute infrastructure
Requirements
Bachelor’s degree in Computer Science, Engineering, Mathematics, Computational Biology, Physics, a related quantitative/scientific discipline, or equivalent practical experience
Nice to have: partnering directly with research scientists or technical leads
Nice to have: translating exploratory, ambiguous initiatives into concrete execution roadmaps
Nice to have: strong conceptual grasp of modern AI/ML systems
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