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Our client, a global IT company, are hiring an experienced ServiceNow PSDS Technical Consultant to join their team in Washington D.C. on a 12-month contract. The successful candidate will play a key role in the design, development, integration and implementation of ServiceNow solutions supporting Public Sector Digital Services (PSDS), helping to deliver secure, scalable and high-quality capabilities within an Agile environment.
Responsibilities
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Design, build and customize ServiceNow applications and modules to meet business and technical requirements.
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Deliver robust technical solutions in line with ServiceNow best practices, governance and development standards.
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Leverage Flow Designer, IntegrationHub, UI Builder, Service Portal and App Engine Studio to deliver effective platform solutions.
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Develop and maintain Client Scripts, Business Rules, Script Includes, UI Policies, ACLs and Scheduled Jobs.
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Design, implement and maintain integrations with third-party systems using REST, SOAP, MID Server, IntegrationHub and APIs.
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Contribute to the delivery and ongoing enhancement of Public Sector Digital Services (PSDS) capabilities within ServiceNow.
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Participate in technical discovery, requirements gathering and solution design workshops.
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Create and maintain high-quality technical documentation, including solution designs, configuration guides and deployment documentation.
Skillset
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Extensive hands-on ServiceNow development and configuration experience, with a proven track record delivering complex technical solutions.
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Strong JavaScript skills across both client-side and server-side scripting, including Client Scripts, Business Rules, Script Includes, UI Policies and ACLs.
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Experience with Flow Designer, IntegrationHub, Service Portal, UI Builder, App Engine Studio, Performance Analytics, Reporting and Dashboards.
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Strong experience developing REST and SOAP integrations, with a good understanding of APIs, MID Server and ServiceNow integration patterns.
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Solid knowledge of the ServiceNow data model, CMDB, platform architecture, ITIL and ServiceNow best practices, with experience using source control and update sets.
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Experience delivering ServiceNow solutions within Agile/Scrum environments, with strong analytical, problem-solving, documentation and stakeholder engagement skills.
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Previous experience in Public Sector/Government environments and/or Public Sector Digital Services (PSDS) implementations is a big plus.
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Experience across ServiceNow products such as ITSM, CSM, ITOM, SPM, HRSD and IRM, with knowledge of Employee Centre, Digital Workflows, DevOps, CI/CD and ATF desirable.
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Relevant ServiceNow certifications, including CSA, CAD or CIS are highly desirable; CTA would be an advantage.
Our client, a global IT company, are hiring an experienced ServiceNow PSDS Business Process Consultant to join their team on a 12-month contract in Washington D.C. The successful candidate will help shape and deliver user-centric digital services aligned with Public Sector Digital Services (PSDS) objectives, while analyzing existing processes, designing future-state solutions, and maximizing ServiceNow's out-of-the-box capabilities.
Responsibilities
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Lead business process discovery and design workshops with stakeholders across multiple business functions.
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Analyze As-Is processes and design optimized To-Be processes aligned with ServiceNow best practices.
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Translate business requirements into functional requirements, user stories, and clear acceptance criteria.
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Facilitate process mapping using BPMN, Lean, Value Stream Mapping or equivalent methodologies.
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Support ServiceNow implementations across modules including ITSM, CSM, HRSD, IRM and SPM.
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Drive process standardization, automation and continuous improvement initiatives.
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Support Agile ceremonies, including backlog refinement, sprint planning and User Acceptance Testing (UAT).
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Develop high-quality documentation, including BRDs, functional specifications, process maps, user stories and SOPs.
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Engage with operational teams, senior stakeholders and program leadership to drive alignment and informed decision-making.
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Identify process risks, dependencies and opportunities for optimization.
Skillset
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Proven experience as a Business Process Consultant or Senior Business Analyst supporting ServiceNow implementations and digital transformation programs.
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Strong knowledge of ServiceNow platform capabilities, best practices, and implementation methodologies.
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Experience delivering complex digital transformation initiatives within public sector or regulated environments.
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Strong expertise in business process modeling, analysis and continuous improvement.
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Proven ability to gather, document, analyze and validate complex business requirements.
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Experience working in Agile delivery environments, including Scrum, Kanban, or SAFe.
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Excellent communication skills with ability to effectively bridge the gap between business stakeholders and technical delivery teams.
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Working knowledge of ITIL 4 and service management best practices.
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ServiceNow Certified System Administrator (CSA) or Certified Implementation Specialist (CIS) certification is a plus.
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Ability to obtain or hold relevant government security clearance may be required.
Our client, an elite ServiceNow partner, are hiring a skilled ServiceNow CSM Developer on a contract basis to join the team in either Ohio, Florida, Tennessee, Kentucky, North Carolina or South Carolina. The successful candidate will be responsible to design, configure and implement ServiceNow CSM solutions.
Responsibilities
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Design, develop and implement ServiceNow CSM solutions based on business requirements.
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Configure workflows, forms and service portals to optimize the customer service experience.
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Customize CSM features, including case management, customer portals and integrations.
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Collaborate with stakeholders to gather technical requirements and provide tailored solutions.
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Conduct system testing, troubleshooting and performance tuning for CSM modules.
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Provide ongoing technical support and maintenance for the ServiceNow CSM environment.
Skillset
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At least 3 years of experience as a ServiceNow Developer, with a focus on CSM implementations.
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Strong understanding of ServiceNow platform architecture and best practices.
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Proven experience in configuring and customizing the CSM module, including case management, customer portals and knowledge management.
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Hands-on experience with ServiceNow Scripting, including JavaScript and API integrations.
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Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
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Excellent communication skills and ability to work independently in a remote setting.
Benefits
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Remote work opportunities.
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Competitive Rate.
Apply now in the link below or by sending your resume to hope@alldus.com.
Our client, a venture-backed AI Startup, is hiring a talented ML/AI Research Engineer to join their team in San Francisco. The successful candidate will lead the design, training, evaluation and optimization of agent-native AI systems, working at the cutting edge of LLMs, vector search, graph reasoning and reinforcement learning to build the intelligence layer on top of their enterprise data fabric.
Responsibilities
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Fine-tune and evaluate open-source LLMs (e.g. LLaMA 3, Mistral, Falcon, Mixtral) for enterprise-grade applications.
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Build and optimize RAG pipelines using tools such as LangChain, LangGraph, LlamaIndex or Dust.
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Develop and iterate on agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using real-world enterprise workflows.
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Design embedding-based memory systems with efficient, high-performance retrieval strategies.
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Implement reinforcement learning pipelines (RLHF, DPO, PPO) to improve agent behavior and decision-making.
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Create scalable evaluation frameworks, including synthetic evaluations, trace capture and explainability tooling.
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Own model observability, drift detection and alignment strategies across production systems.
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Optimize inference latency and GPU utilization across cloud and on-premise infrastructure.
Skillset
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Strong experience fine-tuning open-source LLMs using frameworks such as HuggingFace, DeepSpeed, vLLM, FSDP and LoRA/QLoRA.
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Hands-on experience with modern alignment techniques, including SFT, RLHF and DPO pipelines.
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Proven ability to build high-quality training datasets and robust evaluation frameworks for LLM systems.
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Deep understanding of scaling and optimization trade-offs, including batching, context windows, precision and quantization.
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Experience building and deploying production-grade RAG systems.
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Familiarity with orchestration and retrieval tools such as LangChain, LangGraph and LlamaIndex, and vector databases (Weaviate, Qdrant, FAISS).
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Experience working across structured (SQL, graph) and unstructured data sources.
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Experience designing agent-based systems with memory, tool use, and multi-step reasoning.
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Strong understanding of agent workflows (e.g. Plan-Act-Reflect), including self-correction and multi-agent systems.
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Expertise in inference and retrieval optimization, including chunking strategies, reranking, and low-latency deployment (e.g. vLLM, TGI).
Benefits
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Salary: $180k - $240k
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Equity.
Our client, an innovative, fast-growing technology company, are hiring a ServiceNow Presales Architect to join the team remotely on an initial six-month contract. The successful candidate will lead technical discovery, design solution architectures, and drive successful customer engagements.
Responsibilities
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Lead customer discovery sessions and workshops to gather business requirements and define technical solution strategies.
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Design and present scalable ServiceNow solution architectures with a strong emphasis on Customer Service Management (CSM), CRM and CPQ.
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Create high-quality presales documentation, including solution designs, technical approaches, implementation roadmaps, project scoping, integration strategies, demo plans, and technical responses for RFPs, RFIs and proposals.
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Assess technical risks, dependencies, security requirements, integration considerations and scalability throughout the presales lifecycle.
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Collaborate closely with Sales, Delivery, Engineering and Product teams to ensure proposed solutions are practical, scalable and aligned with industry best practices.
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Deliver engaging customer presentations and lead technical discussions with both business and technical stakeholders, translating complex concepts into clear business value.
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Provide technical guidance throughout the sales process, helping shape winning solution strategies and customer outcomes.
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Keep current with the latest ServiceNow platform capabilities, product roadmap, and emerging features across CSM, CRM and CPQ.
Skillset
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At least 5 years of experience in ServiceNow presales, solution architecture or consulting roles.
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Deep expertise across ServiceNow Customer Service Management (CSM) and CRM solutions.
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Strong hands-on experience with ServiceNow CPQ (essential), including solution design and workflow architecture.
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ServiceNow certifications such as CSA, CAD or equivalent is a plus.
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Proven track record of leading customer workshops and converting complex business requirements into scalable technical solutions.
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Strong knowledge of the ServiceNow platform, including architecture, integrations, security, performance optimisation, and implementation best practices.
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Excellent presentation, communication and stakeholder management abilities.
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Comfortable operating in a fast-paced startup environment with a strong sense of ownership, accountability and adaptability.
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Ability to communicate complex technical concepts clearly to both technical teams and business stakeholders.
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Experience designing integrations across CRM, ERP, billing, and pricing platforms is highly desirable.
Our client, an early-stage AI startup, is hiring a Founding Engineer to join the team in New York. The successful candidate will play a key role in shaping both the product vision and technical direction of the business, building cutting-edge AI systems that accelerate scientific discovery through intelligent automation, multimodal machine learning and advanced data platforms.
Responsibilities
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Design, develop and deploy enterprise-grade AI solutions that empower scientific teams.
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Build advanced multimodal AI systems, including computer vision models, speech-to-text capabilities and intelligent AI agents.
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Develop scalable machine learning pipelines and data infrastructure to support scientific applications.
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Create AI models that analyze experimental data, uncover insights, predict outcomes and optimize processes.
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Convert complex laboratory data into structured, high-quality datasets for machine learning development.
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Work closely with research partners and customers to gather feedback, validate solutions and continuously improve products.
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Shape the company's technical architecture, engineering practices and long-term AI roadmap.
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Partner with founders and scientific leaders to drive product development and technical decision-making.
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Deliver robust, production-ready software with a focus on speed, quality and scalability.
Skillset
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Proven experience designing, building and deploying production software within a startup, research environment or leading technology organization.
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Strong machine learning expertise with deep knowledge in at least two of the following areas: Geometric Deep Learning, Graph Neural Networks (GNNs), Diffusion Models, Generative AI or ML Interatomic Potentials.
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Experience developing and delivering AI-powered products that solve real-world customer challenges.
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Strong software engineering capabilities across backend development, machine learning infrastructure and cloud-based environments.
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Hands-on experience building scalable data pipelines, ML workflows and production AI systems.
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Ability to take ownership across the entire product lifecycle, from initial concept and experimentation through to deployment and optimization.
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Comfortable working in a fast-paced startup environment with a high level of autonomy, ownership and accountability.
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Strong analytical, problem-solving and communication skills with the ability to collaborate across technical and scientific teams.
Benefits
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Salary: $150k - $220k DOE.