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Full Time Asset Tokenization Jobs (NOW HIRING)

Senior Counsel

Downers Grove, IL · Hybrid

$220K - $235K/yr

... tokenization, stablecoin ecosystem and digital asset offerings. * Draft, review, and maintain ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

Senior Engineer (Sr. Data Security Analyst)

$117K - $160K/yr

This is a full-time position About the Team College Board's Enterprise Security Engineering (ESE ... This role exists to safeguard information assets, support privacy and compliance goals, and ...

Senior Counsel

Atlanta, GA · On-site

$220K - $235K/yr

... tokenization, stablecoin ecosystem and digital asset offerings. * Draft, review, and maintain ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

Senior Counsel

Houston, TX · Hybrid

$220K - $235K/yr

... tokenization, stablecoin ecosystem and digital asset offerings. * Draft, review, and maintain ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

Senior Counsel

Atlanta, GA · Hybrid

$220K - $235K/yr

... tokenization, stablecoin ecosystem and digital asset offerings. * Draft, review, and maintain ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

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Full Time Asset Tokenization information

What is the difference between Full Time Asset Tokenization vs Full Time Blockchain Developer?

AspectFull Time Asset TokenizationFull Time Blockchain Developer
Primary FocusConverting assets into digital tokens on blockchain platformsDeveloping and maintaining blockchain software and protocols
Required SkillsKnowledge of blockchain, finance, and asset managementProgramming, cryptography, and blockchain architecture
Work EnvironmentFinancial institutions, asset management firms, fintech companiesTech companies, blockchain startups, software firms
CertificationsFinancial certifications, blockchain certificationsProgramming certifications, blockchain developer courses

While both roles involve blockchain technology, Full Time Asset Tokenization focuses on transforming assets into digital tokens for investment and trading, often within financial sectors. Full Time Blockchain Developers primarily build and improve blockchain systems and applications. Understanding these distinctions helps clarify career paths and employer expectations in the blockchain industry.

What are some common challenges faced by professionals in full-time asset tokenization roles, and how can they be addressed?

Professionals in full-time asset tokenization roles often encounter challenges such as navigating evolving regulatory landscapes, ensuring robust cybersecurity for digital assets, and managing the integration of blockchain platforms with traditional financial systems. Staying updated on compliance requirements and collaborating closely with legal teams is essential. Additionally, working cross-functionally with IT, finance, and product teams helps streamline processes and address technical hurdles effectively, making adaptability and continuous learning key to success in this field.

What is asset tokenization?

Asset tokenization is the process of converting ownership rights in a real-world asset, such as real estate, art, or stocks, into digital tokens that exist on a blockchain. These tokens represent a share or fraction of the underlying asset and can be traded securely and transparently. Asset tokenization increases liquidity, reduces transaction costs, and allows for fractional ownership, making it easier for a broader range of investors to participate in asset markets.

What are the key skills and qualifications needed to thrive in a Full Time Asset Tokenization role, and why are they important?

To thrive in asset tokenization, you need a solid background in finance, blockchain technology, and digital asset management, often supported by a relevant degree or certifications like CFA or blockchain-related credentials. Familiarity with smart contract platforms (such as Ethereum), tokenization frameworks, and regulatory compliance systems is essential for the technical aspects of the role. Strong analytical thinking, attention to detail, and effective communication skills help professionals navigate complex deals and collaborate with diverse stakeholders. These competencies are crucial for ensuring regulatory compliance, technical accuracy, and successful execution of tokenization projects.
More about Full Time Asset Tokenization jobs
What cities are hiring for Full Time Asset Tokenization jobs? Cities with the most Full Time Asset Tokenization job openings:
What are the most commonly searched types of Asset Tokenization jobs? The most popular types of Asset Tokenization jobs are:
What states have the most Full Time Asset Tokenization jobs? States with the most job openings for Full Time Asset Tokenization jobs include:
What job categories do people searching Full Time Asset Tokenization jobs look for? The top searched job categories for Full Time Asset Tokenization jobs are:
Infographic showing various Full Time Asset Tokenization job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 76% Physical, 10% Hybrid, and 14% Remote job distribution.
AI Architect for Software Development

AI Architect for Software Development

Lattice Semiconductor

San Jose, CA • On-site

$260K - $280K/yr

Full-time

Posted 12 hours ago


Job description

Lattice OverviewThere is energy here...energy you can feel crackling at any of our international locations. It's an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a "team first" organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you're looking for.Responsibilities & Skills 

We are looking for an AI Architect to design and lead the development of a largescale Agentic AI system that automates complex engineering workflows using LLMs, VLMs, and structured reasoning. You will architect multiagent workflows, build highquality training datasets, finetune and optimize frontier models, and design the guardrails, retrieval pipelines, and evaluation frameworks required to run AI safely and reliably in production.

This role is ideal for someone who excels in AI systems architecture, agent design, LLM/RAG pipelines, and model optimization

.

Key Responsibilities

  • Design multiagent workflows with an orchestrator, specialized agents, and shared memory.
  • Define agent interfaces, policies, and errorhandling/repair strategies.
  • Implement strict schemabound LLM calls (JSON, XML, structured tool commands).
  • Select, distill, finetune, and evaluate LLM/SLM/VLA models.
  • Design prompt templates, adapters, LoRA modules, and controlledgeneration methods.
  • Build document ingestion pipelines with chunking, metadata tagging, and embeddings.
  • Build domainaware RAG systems with citationbased referencing.
  • Develop multi layer guardrails using schema validation, rule based checks, and policy engines.
  • Implement self critique, repair loops, and fallback strategies for model outputs.
  • Build model serving pipelines (vLLM/TGI/Triton), caching, batching, and streaming.
  • Implement logging, tracing, observability, and offline evaluation pipelines.

Required Qualifications

  • 5+ years building ML or LLMpowered products (multiagent systems preferred).
  • Experience with LLM finetuning (LoRA/QLoRA), distillation, and prompt engineering.
  • Strong understanding of LLM internal architecture (transformers, attention, tokenization).
  • Expertise in Python, PyTorch, and modern AI frameworks (HuggingFace, vLLM, LangChain).
  • Experience building robust RAG pipelines (embedding optimization, retrieval metrics).
  • Experience designing structured model interactions (JSON schema, functioncalling, tooluse).
  • Experience with embedded, hardware, or FPGA workflows-but not mandatory.

 

Benefits

 

Benefits:The base pay for this role is between $260,000 to $280,000 per year. In addition to base salary, we offer an incentive plan bonus, and new hire equity for a competitive total compensation package. Lattice recognizes that employees are its greatest asset and the driving force behind success in a highly competitive, global industry.  Lattice continually strives to provide a comprehensive compensation and benefits program to attract, retain, motivate, reward and celebrate the highest caliber employees in the industry. 

Lattice is an international, service-driven developer of innovative low cost, low power programmable design solutions.  Our global workforce, some 800 strong, shares a total commitment to customer success and an unbending will to win.  For more information about how our FPGA, CPLD and programmable power management  devices help our customers unlock their innovation, visit www.latticesemi.com.  You can also follow us via Twitter, Facebook, or RSS. At Lattice, we value the diversity of individuals, ideas, perspectives, insights and values, and what they bring to the workplace.  Applications are welcome from all qualified candidates.

LatticeFeel the energy. 

Employment Type: FULL_TIME