Artificial Intelligence Specialist

Location: Secaucus, NJ (Remote)Experience: 5–7 YearsQualification: Bachelor’s degree in technology / engineeringPrimary Skill: Artificial Intelligence, Data Science, Prompt EngineeringNote: We are considering W2 candidates only for this role. About the RoleWe are looking for a highly motivated AI Engineer / AI Analyst to join our innovative and fast‑growing team. In this role, you’ll act as a critical bridge between business stakeholders and technical teams—ensuring our AI initiatives are thoughtfully designed, responsibly implemented, and tightly aligned with business outcomes.You will play a key role in shaping AI‑driven solutions by analyzing business needs, defining AI use cases, and guiding implementation decisions such as when to use LLMs, AI agents, tools, or MCP‑based architectures. This position is ideal for someone who combines strong technical AI knowledge with excellent communication and analytical skills.Key ResponsibilitiesCollaborate with business stakeholders to gather, analyze, and document AI requirements and use casesTranslate business needs into actionable AI solution designs and implementation guidanceEvaluate and articulate the business impact and value of AI initiativesGuide AI solution choices (e.g., LLMs vs Agents vs Tools) based on use cases and constraintsEnsure AI guardrails, data privacy, security, and ethical considerations are embedded in the development lifecyclePartner closely with engineering teams to communicate requirements and support implementationCreate and maintain detailed documentation including business requirements, process flows, and user storiesWork within an Agile environment using JIRA and ConfluenceRequired QualificationsBachelor’s degree in computer science, Data Science, Engineering, or a related field5–7 years of experience in AI, data science, or a data‑driven environmentHands‑on AI application development experience or strong technical knowledge of AI solution design and implementationSolid understanding of AI/ML concepts and their real‑world business applicationsStrong analytical and problem‑solving skillsExcellent written and verbal communication skills with the ability to engage stakeholders at all levelsPreferred SkillsKnowledge of data governance, security, and privacy regulations (e.g., GDPR, CCPA)Familiarity with data analysis and visualization toolsExperience in a relevant industry domainExposure to prompt engineering and modern AI frameworks