Principal Applied AI Researcher - Domain-Specific Models
About the job
- A PhD or MSc in Computer Science, Machine Learning, NLP, or a related field is required.
- At least 10 years of experience in AI/ML research with an exceptional track record of impact is required, including models or systems built that are in production and measurably changed outcomes.
- At least 4 years of experience developing large language model-based systems is required.
- Deep hands-on experience across the full model development lifecycle, including continued pretraining, supervised fine-tuning, post-training alignment, and production evaluation, is required.
- Experience designing evaluation methodology beyond leaderboard metrics, including domain-expert grounded assessment, systematic error analysis, robustness under distribution shift, and readiness criteria for high-stakes deployment, is required.
- Direct experience training or adapting models on large graphics processing unit clusters using distributed frameworks such as DeepSpeed, Fully Sharded Data Parallel, and Megatron-LM is required.
- Proficiency in Python and PyTorch is required, including writing and reviewing code.
- Experience shaping research direction at the organizational level, defining research investments, stopping or prioritizing initiatives, and allocating research investment across competing priorities is required.
- Set company-level technical direction for domain-specific model strategy, including how Articul8 builds, evaluates, scales, and sustains model superiority across continued pre-training, fine-tuning, post-training, and release quality standards.
- Architect the organization's agentic model development paradigm by designing agent-orchestrated research infrastructure for experiment orchestration, data pipeline automation, continuous evaluation, and competitive benchmarking.
- Lead research on model adaptation methodology, data curation strategies, post-training methods, training dynamics, preference optimization, reward modeling, reasoning improvement, and alignment.
- Shape model strategy across Articul8's domains and verticals by defining how the company identifies, prioritizes, and enters new model domains based on technical feasibility, customer value, and strategic differentiation.
- Define evaluation strategy by establishing benchmark design, expert-grounded assessment, model failure analysis, and robustness standards, and by building agentic evaluation harnesses that compare Articul8 models with open and closed alternatives.
- Lead cross-cutting research initiatives across data perception, retrieval, post-training, and runtime orchestration, coordinating parallel research tracks across pillars.
- Influence platform-level decisions concerning model lifecycle management, portfolio strategy, release criteria, and integration architecture.
- Mentor Staff and Senior researchers on designing agent-augmented research programs and improving technical judgment and experimental rigor.
- Maintain a meaningful personal research contribution through technical work, publications, patents, and externally visible output.
- Experience building domain-specialized models that outperform general-purpose alternatives on specific, measurable tasks.
- Hands-on experience applying reinforcement learning from human feedback, direct preference optimization, reward modeling, and constitutional approaches to real alignment problems.
- Deep experience in data curation for model development, including deduplication, mixture design, and quality scoring.
- A track record of designing evaluation frameworks for enterprise or regulated-industry use cases where incorrect answers have serious consequences.
- A publication record at top-tier venues with sustained research leadership and influence on the field.
- Experience taking model research from prototype to production in a commercial setting where customers depend on the output.
- Domain expertise in one or more of energy, semiconductor, finance, aerospace, or supply chain.
About the company
Articul8 AI builds AI software for large companies. Its main products are tools and platforms that plug into a company’s existing systems to make operations smoother and decisions smarter. The technology likely covers natural language processing, predictive analytics, and custom machine learning models designed for business intelligence, all delivered as enterprise-ready tools. Instead of selling standalone, generic AI, Articul8 AI emphasizes easy integration, reliability, and practical use in real business environments. The company aims to help enterprises adopt AI at scale, improving efficiency, data insights, and decision-making across departments. With significant funding and a unicorn valuation, Articul8 AI positions itself as a serious provider of enterprise AI that can be integrated into current tech stacks and workflows.
Company Size
51-200
Company Stage
Series B
Total Funding
$70M
Headquarters
Dublin, California
Founded
2024
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Simplify's Take
What believers are saying
- June 2026 deal signaled eight-figure ARR growth and more than $100 million TCV.
- ASME said Fortune 500 industrial customers already validated the engineering-standards collaboration in July 2026.
- Articul8 sells on AWS, Azure, GCP, and Databricks, widening distribution across enterprises.
What critics are saying
- A global industrial-software partner now controls a major revenue stream and roadmap leverage.
- AWS, Microsoft, and Google can bundle similar tools by 2027.
- Intel or the strategic partner can replace Articul8 with internal teams, killing the company.
What makes Articul8 unique
- Articul8's June 2026 Series B tied capital to a core GenAI industrial-software partnership.
- Its Data Perception connects 25-plus enterprise systems without moving customer data.
- ASME's July 2026 standards model gives Articul8 proprietary, high-trust engineering content.
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Benefits
Professional Development Budget
Flexible Work Hours
Company Social Events
Growth & Insights and Company News
6 month growth
-7%1 year growth
-1%2 year growth
10%The Aditya Birla Group has invested in Articul8, an AI startup that originated from Intel, to accelerate its expansion into global enterprise markets. The company will use the funding to enhance its product line and grow operations worldwide. Articul8 specialises in AI-driven business solutions for enterprise clients, a sector characterised by higher budgets and stricter regulatory requirements. This approach mirrors successful Indian B2B platforms like Moglix and BlackBuck, which addressed domestic inefficiencies before scaling internationally. The investment signals growing confidence in AI adoption among traditional industrial companies. Articul8's strategy of integrating AI with enterprise workflows distinguishes it in a market where many Indian tech firms operate in fragmented, low-margin niches. India's B2B tech sector continues attracting investment, with platforms prioritising profitability over rapid user acquisition.
Nirmala Sitharaman urges Gen Z, Gen Alpha to put nation first and take up leadership. Addressing young graduates in Chennai, the Finance Minister highlighted India's economic resilience and Tamil Nadu's expanding professional opportunities. By PTI. Updated - September 15, 2026 at 08:50 PM. (from left) Ramesh Mahalingam, Trustee, The Madras Sanskrit College; S. Ramadorai, Former Chairman, TCS; Nirmala Sitharaman, Union Finance Minister; N. Gopalswamy, Former CEC and President, VKISET Trust; and Arun K Subramaniyan, CEO, Articul8 AI India, at the launch of the Sanskrit Heritage Model and Platform at Madras Sanskrit College in Chennai on Tuesday, September 15, 2026. Photo Credit: JOTHI RAMALINGAM B Calling upon the "Gen Z" and "Gen Alpha" generations to assume leadership and shoulder responsibility, Union minister Nirmala Sitharaman on Tuesday urged young graduates to put the nation first and ask what they can contribute to the country rather than asking what the country has done for them. Addressing the 36th convocation ceremony of Dr M G R Educational & Research Institute here, the finance minister said the country was ready to listen to the aspirations of the youth, but implored them to step forward with a deep sense of responsibility and civic duty. "Whether you call yourselves Gen Z or Gen Alpha, we are all ready to listen to what you have to say. But you must reflect on what is happening around you, what your role is, and what can be achieved for the country through you," Sitharaman said, invoking the famous ethos of asking what one can do for one's country. THIS AD SUPPORTS OUR JOURNALISM. SUBSCRIBE FOR MINIMAL ADS.
Arun Subramaniyan, founder and chief executive officer of Articul8, discussed his enterprise generative-AI company that spun out of Intel. The firm raised a Series B at approximately $500 million pre-money valuation in June. Subramaniyan, born in southern India to a physician father and homemaker mother, developed an interest in flight during middle school. He earned a PhD at Purdue University and worked on jet engines at GE before focusing on bringing domain-specific AI to enterprises. The conversation covered Subramaniyan's journey from his early fascination with aviation to building an enterprise AI company.
Articul8 AI and ASME announce industry-first domain-specific GenAI model for engineering standards. NEW YORK and SAN JOSE, Calif., July 14, 2026 (GLOBE NEWSWIRE) - The American Society of Mechanical Engineers (ASME), one of the world's most respected and longstanding engineering organizations, is collaborating with Articul8 AI, an enterprise domain-specific generative AI company, to announce a first-of-its-kind domain-specific GenAI model for engineering standards. This announcement represents a major milestone in the modernization of engineering knowledge and demonstrates how AI can be responsibly deployed in high-stakes industrial environments where accuracy, repeatability, auditability, and trust are essential. Machine Learning & Artificial Intelligence The new model transforms how engineers, designers, and technicians interact with ASME's vast library of engineering codes and standards, documents that underpin the safe design and efficient operation of critical infrastructure across aerospace, energy and power, manufacturing, nuclear, petrochemical, oil & gas, and utilities industries worldwide. The GenAI model and collaboration have already drawn strong industry interest and early validation from leading industrial and manufacturing organizations, including several Fortune 500 companies. The response reflects growing demand for AI systems purpose-built for the precision and accuracy that engineering standards require. ASME: Leading the Responsible and Scalable Adoption of AI in Engineering Founded in 1880, ASME has played a foundational role in advancing engineering safety, reliability, and innovation for nearly 150 years. With more than 72,000 members across 130 countries, and approximately 600 codes and standards, including the globally adopted Boiler and Pressure Vessel Code, ASME helps define the safety and performance benchmarks for critical systems used by millions of engineers worldwide. By collaborating with Articul8 to develop a domain-specific AI model for its standards, ASME is taking a leadership role in demonstrating how AI can be responsibly deployed in high-stakes engineering contexts; not as a replacement for human expertise, but as a force multiplier that makes decades of accumulated engineering knowledge more accessible, searchable, and actionable for frontline product and systems designers, builders and implementers across industry sectors and engineering disciplines. Scaling Domain-Specific AI Across Critical Industries This announcement marks the latest milestone in Articul8's mission to build domain-specific GenAI models for the world's most demanding industries. The model leverages Articul8's proprietary data perception product that autonomously builds a knowledge graph using domain-specific models along with unique domain-alignment methodologies to create a purpose-built system that understands the language, structure, and technical nuance of engineering standards. While the domain-specific model serves as a primary interface for interacting with engineering standards, organizations will also be able to access the underlying engineering knowledge through application programming interfaces (APIs), model context protocol (MCP) interfaces, and knowledge graph services. This broader architecture enables customers to incorporate ASME standards intelligence into digital engineering tools, enterprise systems, and agentic AI workflows using the access model that best fits their environment. The platform is designed to operate across cloud and on-premises environments, enabling organizations to deploy AI within highly regulated and security-sensitive operational environments. The collaboration also demonstrates how domain-specific AI systems can help organizations move beyond experimentation with general-purpose AI tools toward production-grade systems built for high-stakes decision-making and operational workflows. Customer Relationship Management (CRM) Quotes Tom Costabile, Executive Director/CEO, ASME: "For nearly 150 years, ASME has been at the forefront of engineering innovation. As the industrial sector enters a new era of AI-driven transformation, we have a responsibility to lead in demonstrating how AI can be applied safely and effectively in engineering. Our collaboration with Articul8 will help transform ASME's engineering standards into trusted digital intelligence that can be accessed through AI applications, enterprise integrations, knowledge graph services, and emerging agentic workflows, making decades of engineering expertise more accessible while preserving the rigor and trust that define ASME standards. This is how we make nearly 150 years of accumulated engineering knowledge work harder for the next generation." Dr. Arun Subramaniyan, Founder and CEO, Articul8 AI: Discover more Business & Industrial Business & Corporate Law Cloud Computing "Industrial AI requires far greater precision, context, and accountability than general-purpose systems were designed to provide. ASME's codes and standards are the safety backbone of industries ranging from nuclear energy to aerospace, and represent some of the most valuable and trusted knowledge systems in the world. By collaborating with ASME, we are helping transform decades of engineering expertise into operational intelligence that can support the next generation of industrial AI applications. This is how enterprise AI scales, through systems that are purpose-built for the realities of specific domains." Setting the Stage for GenAI in the Industrial Sector The Articul8-ASME collaboration signals a broader inflection point for AI adoption in the industrial sector, as well as for standards developers and solutions providers. As organizations move beyond experimentation with general-purpose AI chatbots, the demand for domain-specific models trained on proprietary, expert-curated data and purpose-built for high-stakes decision-making, is rapidly accelerating. Articul8's growing portfolio of domain-specific models, spanning industries such as energy (A8-Energy), semiconductors (A8-Semicon), supply chain (A8-SupplyChain), financial services (A8-Fin), and now engineering standards, demonstrates a repeatable, scalable approach to enterprise GenAI that prioritizes accuracy, traceability, and domain expertise over model size. For additional information from ASME, please contact [email protected] or request additional information from Articul8 at [email protected]. About Articul8 AI Articul8 AI is the enterprise domain-specific generative AI company. Launched in January 2024, Articul8 builds domain-specific GenAI platform for mission-critical, regulated industries including energy, manufacturing, aerospace and defense, financial services, semiconductors, and telecommunications. The company's proprietary technology including its ModelMesh(TM) autonomous reasoning engine, domain-specific model library, and Data Perception and Asset Performance Management Suites, enables enterprises to unlock value from complex proprietary data with enterprise-grade accuracy, security, and compliance. Articul8 is SOC 2 Type II certified and available on AWS, Microsoft Azure, Google Cloud Platform, and Databricks marketplaces. For more information, visit articul8.ai. Machine Learning & Artificial Intelligence About ASME ASME helps the global engineering community develop solutions to real-world challenges. Founded in 1880 as the American Society of Mechanical Engineers, ASME is a not-for-profit professional organization that enables collaboration, knowledge sharing, and skill development across all engineering disciplines, while promoting the vital role of the engineer in society. ASME codes and standards, publications, conferences, continuing education, and professional development programs provide a foundation for advancing technical knowledge and a safer world. In 2020, ASME formed the International Society of Interdisciplinary Engineers (ISIE) II & III LLC, a new for-profit subsidiary to house business ventures that will bring new and innovative products, services, and technologies to the engineering community. For more information, visit www.asme.org. Media Contacts: Articul8 AI - Pradeep Salapakkam, [email protected], +1 513-402-0493 ASME - Monica Shovlin, [email protected], +1 541-554-3796
Articul8 AI secures strategic investment from global industrial software leader to complete Series B. Selected as core GenAI engine after competitive evaluation against general-purpose and enterprise AI platforms. June 16, 2026 08:00 ET | Source: Articul8 SANTA CLARA, Calif., June 16, 2026 (GLOBE NEWSWIRE) - Articul8 AI today announced the completion of its Series B financing at a $500 million pre-money valuation through a strategic investment and commercial partnership with a global industrial software leader serving thousands of customers across asset-intensive and mission-critical industries. The partnership establishes Articul8's domain-specific AI platform as the core GenAI engine for the partner's next-generation asset lifecycle management, engineering simulation, and industrial operations software. The deal is expected to deliver an eight-figure increase in Articul8's annual recurring revenue, building on more than $100 million in cumulative total contract value. The announcement follows Gartner's recognition of Articul8 as a Tech Innovator in Domain-Specific Models for Heavy Industries and further validates the company's approach to delivering domain-specific AI for manufacturing, energy, and other asset-intensive industries where operational context and engineering expertise are critical. "The partner conducted an extensive evaluation of the GenAI landscape and selected Articul8 because we consistently outperformed on the capabilities that matter most for mission-critical industrial applications: accuracy, repeatability, security, and total cost of ownership. Our platform demonstrated a unique ability to work with highly complex industrial data, including engineering drawings, equipment hierarchies, work orders, sensor data, maintenance records, compliance documentation, and domain-specific technical knowledge," said Arun Subramaniyan, Founder and CEO of Articul8. "As general-purpose AI becomes increasingly commoditized, differentiation shifts to systems that understand the operational context of an industry. This partnership validates our conviction that domain-specific GenAI will define the next phase of enterprise adoption." Articul8 delivers a vertically integrated enterprise AI platform purpose-built for industrial data and mission-critical operations. Its Data Perception product connects directly to more than 25 enterprise and operational systems, including Supervisory Control and Data Acquisition (SCADA) systems, data historians, Product Lifecycle Management (PLM) platforms, Enterprise Resource Planning (ERP) systems, engineering drawings, sensor feeds, maintenance systems, and document repositories, creating a unified knowledge graph without requiring data movement. The platform includes more than two dozen domain-specific AI models validated by industry experts and deployed across energy, manufacturing, semiconductors, aerospace, financial services, and telecommunications. AgentMesh reasons at runtime across multiple AI agents that work collaboratively on engineering workflows, diagnose root causes, validate compliance, and answer operational questions, with every action explainable and auditable. The Articul8 platform deploys across public, private, sovereign, and air-gapped environments, enabling secure enterprise deployments while keeping customer data and intellectual property fully within the customer's control. The accuracy gap between domain-specific and general-purpose AI on industrial data is substantial and widening. On industrial entity extraction, Articul8's domain-specific models achieve 96.9% accuracy on the same benchmarks where GPT-5 achieves 71%, Llama 4-Scout achieves 62%, and Llama 3.3-70B achieves 58%. On single-line diagram component detection, a task central to grid and process engineering, general-purpose LLMs score below 1% on both precision and recall (practically unusable), while Articul8 achieved 70% precision and 78% recall (production-quality). These production-scale results were among the factors that drove the partner's decision. The Series B proceeds will accelerate Articul8's go-to-market expansion across North America, Europe, Japan, and Latin America, and support continued development of domain-specific models for mission-critical industries. About Articul8 Articul8 AI is the enterprise domain-specific generative AI platform for mission-critical and regulated industries. Launched in January 2024, Articul8 helps organizations in energy, manufacturing, aerospace and defense, financial services, semiconductors, telecommunications, and other regulated enterprise environments unlock value from proprietary operational and engineering data. The company's platform combines Data Perception for multimodal data intelligence, AgentMesh for multi-AI agent reasoning and orchestration, and domain-specific GenAI models trained for industrial use cases. Articul8 connects directly to enterprise and operational systems, enabling organizations to deploy AI applications with production-grade accuracy, explainability, security, and compliance across public cloud, private cloud, sovereign cloud, and air-gapped environments. Articul8 is SOC 2 Type II certified and available through the Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and Databricks marketplaces. For more information, visit articul8.ai. Media Contact: