You will design, develop and deploy generative AI systems that automate clinical reporting workflows, extract intelligence from documents, and accelerate data-……
Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.…
Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.…
Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.…
Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and……
Education: Bachelor's degree in computer science or related field. Collaborates with business unit and IT teams across all phases of application programming and……
As an Agentic AI Engineer, you will design, build, and operationalize the LLM- and SLM-powered systems behind real healthcare decisioning - the reasoning,……
8+ Years experience articulating technical concepts, risks, and trade-offs. Bachelor's degree in Computer Science, Engineering, Information Technology, or a……
7+ years of experience in software engineering, data engineering, data science, or analytics engineering. Data engineering experience with Spark, Airflow/dbt,……
Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs. Bachelor's degree in Computer Science, Engineering,……
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a technical field. Translate business and cybersecurity needs into high-……
15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources;……
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for……
You are expected to focus on building client relationships, developing a deeper understanding of the business context, and navigating increasingly complex……
The Technical Lead is a critical hybrid role responsible for driving the technical delivery of high-impact AI and Data Intelligence initiatives.…
Demonstrated proficiency with AI-assisted coding workflows, including experience with LLM-powered development tools, spec-driven development methodologies, and……
Master's degree in Computational Linguistics, NLP, Linguistics, or related field. Advanced knowledge of conversational AI product development lifecycle —……
Bachelor's degree in Computer Science or a related field or 2+ years of equivalent practical experience. You will collaborate closely with senior engineers,……
This Lead AI/ML Engineer serves as a senior technical authority responsible for driving the design, development, and delivery of advanced AI/ML solutions across……
Discover design flaws, performance gaps, reliability risks, and integration friction in foundational products during deployment work, and translate those……
Own assigned customer deployment workstreams end to end, from technical discovery and solution shaping through implementation, rollout, and handoff to sustained……
US Citizenship is required due to program requirements and system access, plus a Bachelor's degree in Computer Science, Information Technology, Engineering, AI/……
Partner with engineering and product teams to advise on design and implementation of technology solutions. More than 5 years of relevant experience in product……
AI-Driven Efficiency & Automation: Proactively identifies operational gaps and builds solutions using AI tools (Gemini, Claude, ChatGPT) and automation……
Experience delivering live technical demos to client audiences of varying technical depth. 8+ years of experience in solution architecture, software engineering……
Design and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.…
Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Act as a technical authority, setting standards for……
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Job Description:
We are looking for an AI Engineer to join our Data Science team, building AI-powered solutions for clinical data processing and analysis within a major pharmaceutical organization. You will design, develop and deploy generative AI systems that automate clinical reporting workflows, extract intelligence from documents, and accelerate data-driven decision making.
This is a hands-on engineering role you'll be writing production code, not just building prototypes.
Responsibilities:
Generative AI & Automation.
Develop LLM-powered automation tools for clinical reporting and document generation workflows.
Build AI-driven code generation pipelines and quality assessment frameworks.
Design and implement human-in-the-loop review workflows with feedback loops to continuously improve output quality.
Research & Evaluation:
Research and evaluate emerging AI methods, frameworks, and techniques for specific tasks e.g. comparing fine-tuning vs zero-shot approaches, assessing new document extraction tools, or trialling new agentic frameworks.
Prototype and benchmark new approaches before recommending adoption.
Stay current with a rapidly evolving field and bring new ideas to the team.
Agentic AI & Orchestration:
Design and build multi-agent systems for data workflows agents that retrieve, generate, validate, and iterate autonomously.
Implement agent orchestration using frameworks such as Google ADK, Lang Graph, or Lang Chain.
You care about code quality not just making things work, but making them maintainable.
You're comfortable working across the full stack of an AI application, from data ingestion to user-facing tools.
You can context-switch between multiple projects and work autonomously.
You're curious about the clinical/pharmaceutical domain and motivated to learn it.
You see AI-assisted development as a force multiplier, not a replacement for engineering judgment.
You're a self-directed learner who researches new methods and tools, evaluates them critically, and knows when to adopt vs when to stick with what works.
The minimum salary is $97K and the max salary is $166K.
$97K – $166K/yr (Glassdoor est.)
$127K
/yr Median
Manhattan
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