AI/ML Computational Science Specialist
Accenture in India · Bengaluru, Karnataka, India
- On site
- Full-time
- ₹1,500,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Design and optimize AI/NLP prompts.
- Work with large language models.
- Collaborate with cross-functional teams.
- Iterate and analyze prompt performance.
- Mentor junior engineers and innovate.
About the role
AI/ML Computational Science Specialist at Accenture in India
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com
What would you do?
The Prompt Engineer at Career Level 9 (CL9) is responsible for designing, developing, and optimizing prompts for advanced artificial intelligence (AI) and natural language processing (NLP) systems. This role requires deep expertise in language modeling, prompt creation, and iterative testing to maximize the performance and accuracy of AI-driven applications. The Prompt Engineer collaborates with data scientists, software engineers, and product teams to deliver innovative solutions that drive business value.
- Lead complex projects with minimal supervision and deliver high-impact results.
- Demonstrate thought leadership and contribute to the strategic direction of AI initiatives.
- Mentor junior engineers and promote a culture of innovation and continuous learning.
- Engage with external partners, communities, or conferences to represent the organization’s AI capabilities.
The Prompt Engineer (CL9) typically works in a hybrid or remote setting, collaborating with global teams. Occasional travel may be required for conferences, workshops, or client engagements.
What are we looking for?
- 5+ years of experience in AI, NLP, or software engineering, with a focus on prompt engineering.
- Strong understanding of large language models (e.g., GPT, LLaMA, PaLM) and generative AI technologies.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Demonstrated ability to innovate and adapt to emerging technologies and methodologies.
- Experience with prompt evaluation, reinforcement learning from human feedback (RLHF), or AI alignment.
- Familiarity with LLM Models (e.g., Azure, AWS, Google Cloud).
- Background in computational linguistics or human-computer interaction.
- Contributions to open-source AI/NLP projects or published research in the field.
Roles and Responsibilities:
- Design, develop, and refine prompts for AI/NLP models to improve their understanding, relevance, and reliability.
- Analyze model outputs and systematically iterate on prompt engineering techniques to enhance results.
- Collaborate with cross-functional teams to integrate prompt engineering solutions into products and workflows.
- Conduct A/B testing and performance analysis of prompts to identify areas for improvement.
- Document best practices, methodologies, and prompt engineering frameworks for internal use.
- Stay current with advancements in large language models (LLMs), generative AI, and NLP research.
- Educate and mentor junior team members on prompt engineering strategies and tools.
- Work closely with stakeholders to gather requirements and translate them into technical prompt specifications.
Key skills/competency
- Prompt Engineering
- AI/ML
- NLP
- Large Language Models (LLMs)
- Generative AI
- Computational Linguistics
- Human-Computer Interaction
- Reinforcement Learning
- AI Alignment
- Software Engineering
Skills & topics
- AI
- ML
- Computational Science
- Specialist
- Prompt Engineering
- NLP
- Large Language Models
- Generative AI
- Accenture
- India
How to get hired
- Tailor your resume: Highlight 5+ years of AI/NLP experience, prompt engineering, and LLM knowledge.
- Showcase your skills: Emphasize problem-solving, analytical, and communication abilities relevant to prompt engineering.
- Demonstrate innovation: Include examples of adapting to new AI technologies and methodologies.
- Prepare for interviews: Be ready to discuss prompt evaluation, RLHF, or AI alignment experience.
- Understand the role: Research Accenture's AI initiatives and their focus on innovation.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary responsibilities of an AI/ML Computational Science Specialist at Accenture?
- As an AI/ML Computational Science Specialist at Accenture, you will be responsible for designing, developing, and optimizing prompts for AI and NLP systems. This involves a deep understanding of language modeling, prompt creation, iterative testing, and collaborating with cross-functional teams to enhance AI-driven applications.
- What qualifications and experience are needed for the AI/ML Computational Science Specialist role?
- We are looking for candidates with 5+ years of experience in AI, NLP, or software engineering, specifically focusing on prompt engineering. A strong understanding of large language models (LLMs) like GPT, LLaMA, and PaLM, along with excellent analytical, problem-solving, and communication skills, is essential. Background in computational linguistics or HCI is also beneficial.
- What is the typical work environment for this role at Accenture?
- The AI/ML Computational Science Specialist role is typically a hybrid or remote position, allowing for collaboration with global teams. Occasional travel may be required for conferences, workshops, or client engagements.
- How does Accenture foster innovation in AI and NLP roles?
- Accenture fosters innovation through a culture that encourages continuous learning and development. The role involves demonstrating thought leadership, contributing to strategic AI initiatives, and engaging with external partners and communities to represent the organization's AI capabilities.
- What are some examples of advanced AI/NLP technologies mentioned for this role?
- The role involves working with advanced AI/NLP technologies such as large language models (LLMs) like GPT, LLaMA, and PaLM, generative AI, prompt evaluation techniques, reinforcement learning from human feedback (RLHF), and AI alignment strategies.
- Does Accenture encourage contributions to open-source AI/NLP projects or research?
- Yes, Accenture values contributions to open-source AI/NLP projects and published research in the field. This experience is highly regarded and demonstrates a deep engagement with the AI/NLP community.