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Generative Ai Pharmaceutical Jobs (NOW HIRING)

Engineer, Enterprise AI

$105K - $150K/yr

STAR Bonus % (At Risk Maximum) 5.00 - Salaried Non-Management except pharmacists Work Schedule ... Experience developing or supporting generative AI and agentic AI workflows, including orchestration ...

Experience in the pharmaceutical, healthcare, or life sciences industry. * Experience working with ... Generative AI, Large Language Models (LLMs), and emerging agentic AI architectures. * Design and ...

Experience in the pharmaceutical, healthcare, or life sciences industry. * Experience working with ... Generative AI, Large Language Models (LLMs), and emerging agentic AI architectures. * Design and ...

Experience in the pharmaceutical, healthcare, or life sciences industry. * Experience working with ... Generative AI, Large Language Models (LLMs), and emerging agentic AI architectures. * Design and ...

Perform mass spectrometry data processing and statistical analysis; build or leverage Generative AI ... PhD in biological, chemical, pharmaceutical sciences, or a related field, accompanied by 3-5 years ...

... pharmaceutical and biotech industries. Our #LifeatRealChem culture is rooted in our people-we ... Identify high-value opportunities to apply generative AI across workflows, deliverables, and ...

At Instem, you'll empower pharmaceutical companies, CROs, government agencies, academic ... Develop Predictive & Generative Models • Build AI models to support study design, prediction, and ...

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Generative Ai Pharmaceutical information

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$14

$19

$25

How much do generative ai pharmaceutical jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for generative ai pharmaceutical in the United States is $19.78, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $21.88 per hour, depending on experience, location, and employer.

How does a generative AI pharmaceutical professional typically collaborate with cross-functional teams?

Generative AI professionals in the pharmaceutical industry frequently work alongside researchers, data scientists, clinicians, and regulatory experts to develop innovative solutions for drug discovery and development. Their role often involves translating complex AI models into actionable insights that support scientific and business objectives. Effective communication and teamwork are essential, as they must ensure that AI-generated data aligns with clinical needs and complies with industry regulations. This collaborative environment provides ample opportunities to learn from experts in various fields and contribute to groundbreaking advancements in medicine.

What is the difference between Generative Ai Pharmaceutical vs Data Scientist in Pharma?

AspectGenerative Ai PharmaceuticalData Scientist in Pharma
Required CredentialsAdvanced degrees in AI, machine learning, or related fields; knowledge of pharmaceutical dataDegree in Data Science, Statistics, or related fields; experience with healthcare data
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms focusing on AI-driven drug discoveryHealthcare and pharmaceutical companies analyzing clinical and operational data
Industry UsageDevelops AI models for drug design, biomarker discovery, and personalized medicineAnalyzes clinical trial data, patient records, and operational datasets

Generative Ai Pharmaceutical specialists focus on creating AI models to innovate drug development, while Data Scientists in Pharma analyze existing healthcare data to inform decisions. Both roles require strong technical skills but differ in their primary focus within the pharmaceutical industry.

What is a generative AI pharmaceutical professional?

A Generative AI Pharmaceutical professional is an expert who leverages artificial intelligence, particularly generative models, to accelerate drug discovery, design new molecules, and optimize pharmaceutical research and development processes. They use advanced algorithms and large datasets to predict how potential drugs will behave and identify promising candidates faster than traditional methods. These professionals often work at the intersection of computer science, biology, and chemistry, collaborating with researchers to bring innovative therapies to market more efficiently. Their work can significantly reduce the time and cost associated with developing new medicines.

What are the key skills and qualifications needed to thrive as a generative AI pharmaceutical specialist, and why are they important?

To thrive as a Generative AI Pharmaceutical Specialist, you need a strong background in pharmaceutical sciences, data analysis, and machine learning, typically supported by an advanced degree in a related field. Proficiency with AI frameworks (such as TensorFlow or PyTorch), programming languages like Python, and knowledge of drug discovery platforms are essential. Strong problem-solving abilities, interdisciplinary communication, and adaptability are key soft skills for excelling in this evolving field. These competencies are vital for driving innovation, accelerating drug development, and ensuring effective collaboration between AI and pharmaceutical experts.
More about Generative Ai Pharmaceutical jobs
What cities are hiring for Generative Ai Pharmaceutical jobs? Cities with the most Generative Ai Pharmaceutical job openings:
What states have the most Generative Ai Pharmaceutical jobs? States with the most job openings for Generative Ai Pharmaceutical jobs include:
Infographic showing various Generative Ai Pharmaceutical job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $41,139 per year, or $19.8 per hour.

AWS AI Platform Engineer

Alpha Consulting Corp.

Raleigh, NC • On-site

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Alpha Consulting Corp. is seeking a Senior Engineer – AWS AI Platform & RAG Integration to serve as the technical bridge between various teams. The role involves driving the onboarding of AI use cases onto the enterprise AI platform and implementing Generative AI solutions using AWS native AI services.
Responsibilities:
• Lead onboarding of business applications onto the enterprise AI platform
• Translate business and AI requirements into AWS infrastructure and platform capabilities
• Design reusable AI integration patterns and reference architectures
• Define enterprise standards for AI application integration
• Support multiple AI initiatives across business domains
• Design and implement Retrieval-Augmented Generation (RAG) architectures
• Build AI agents and multi-agent workflows for enterprise use cases
• Design enterprise knowledge retrieval and semantic search solutions
• Develop reusable AI orchestration components and AI APIs
• Integrate enterprise data sources into AI knowledge bases
• Implement prompt engineering and context management strategies
• Work with AWS Cloud Infrastructure teams to use AI to provision and configure AWS Cloud infrastructure
• Design cloud-native AI architectures using AWS managed services
• Support infrastructure automation and deployment pipelines
• Ensure high availability, scalability, and resilience of AI workloads
• Coordinate networking, IAM, security, storage, and compute requirements
• Act as the primary technical liaison between: AWS Cloud Infrastructure teams, AI Platform teams, Security and IAM teams, Networking teams, Data Engineering teams, Application Development teams, Enterprise Architecture teams
• Lead technical workshops and architecture discussions
• Coordinate cross-functional delivery activities
• Mentor engineering teams adopting AI capabilities
• Ensure AI solutions comply with enterprise security and governance standards
• Design secure AI integration patterns
• Implement AI guardrails and Responsible AI controls
• Support AI evaluation, monitoring, and observability
• Drive AI platform best practices and reusable accelerators
Qualifications:
Required:
• 10–15 years of experience in Cloud Engineering, Platform Engineering, or Enterprise Architecture
• 4+ years of experience designing and implementing AI/ML and Generative AI solutions
• 2+ years of hands-on experience building RAG systems and AI Agents
• AWS Cloud: VPC, IAM, EC2, ECS, EKS, Lambda, S3, API Gateway, CloudWatch, CloudFormation, EventBridge, SNS/SQS, Step Functions, KMS, Secrets Manager, Terraform, Elasticsearch, Cost Analysis, Budgeting
• AWS AI Services: Amazon Bedrock, SageMaker AI, Amazon Knowledge Bases, Amazon OpenSearch, Amazon Titan, Bedrock Agents, Bedrock Guardrails, Textract, Comprehend, Transcribe, Rekognition, Neptune
• AI Technologies: RAG architecture, Vector databases, Embeddings, Vector Search, Sematic search, Prompt engineering, Context Engineering, Agentic AI, Multi-agent orchestration, MCP, LangChain, LangGraph, LlamaIndex, AI evaluation techniques, Hallucination Mitigation Techniques, AI governance, LLM Models (Anthropic)
• Programming: Python, Java, REST APIs, SDK integration, Git, CI/CD, Claude Code
• Data Skills: SQL, NoSQL, Document processing, Data chunking, Metadata management, Data ingestion pipelines
• Leadership Skills: Executive communication, Cross-functional coordination, Technical leadership, Architecture governance, Stakeholder management
Preferred:
• Experience working in large enterprise or financial services environments is highly preferred
Company:
Alpha Consulting Corp. has been exceeding expectations in the IT, pharmaceutical, and clinical staffing business since 1994. Founded in 1994, the company is headquartered in East Brunswick, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Alpha Consulting logo

About Alpha Consulting

Sourced by ZipRecruiter

Alpha Consulting is headquartered in East Brunswick, NJ, US and operates in the consulting sector. As a high-visibility consultant in the IT and pharmaceutical services industry, they deliver comprehensive project, process, and applications management solutions to businesses across these sectors. Empowering their clients to achieve their objectives through innovative and cost-effective strategies is the core belief of Alpha. Their mission is to offer experienced consulting and IT services that help clients attain their business objectives by seamlessly bridging the gap between business goals and technology implementation.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

1994

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