AI Engineer, Data Science Austin, TX; New York, NY

Future Secure AI Pty; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Flexible work environment

Opportunity for professional growth

High-performance culture

Working with industry leaders

Job summary

Future Secure AI Pty in New York is seeking a Senior AI Engineer specializing in Data Science to architect and deploy machine learning systems that solve significant real-world challenges. Ideal candidates will have over 5 years of experience in AI with strong skills in NLP techniques and a Master’s or Doctorate in a related field. This role also involves mentoring junior data scientists and influencing long-term data strategies within a collaborative, agile environment.

Qualifications

• 5+ years of experience in Data Science and machine learning.
• Experience in AI sector and agentic AI.
• Ability to translate technical concepts for non-technical stakeholders.

Responsibilities

• Architect, build, and deploy machine learning models and LLM systems.
• Analyse large-scale datasets for insights.
• Lead MLOps initiatives including model performance tracking.

Skills

Deep hands-on experience in Data Science

NLP techniques expertise

Strong communication skills

Machine learning expertise

Cross-functional collaboration

Education

Master’s or Doctorate in Data Science, Mathematics, Statistics, Computer Science

Tools

Python

Transformers

LangChain

LlamaIndex

Job description

At Future Secure AI, we’re building something genuinely new—and we’re looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real‑world problems for global enterprises across multiple industries, armed with state‑of‑the‑art technology and a culture that prizes courage, rigor, and relentless curiosity.

The Opportunity

As a Senior AI Engineer – Data Science, you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine learning systems—particularly LLM‑driven solutions—that solve high‑value, real‑world problems for enterprise clients.

You’ll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI.

Your work will directly contribute to AI systems that have the potential to transform industries—and society.

What You’ll Do

• Architect, build, and deploy machine learning models and LLM systems that drive meaningful impact for our products and users
• Analyse complex, large‑scale structured and unstructured datasets to uncover insights and opportunities
• Enhance LLM output quality across diverse use cases, including optimisation of multi‑step reasoning chains
• Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
• Influence long‑term data and AI strategy, including governance, ethical AI, and scalable frameworks
• Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, production‑ready solutions
• Mentor and uplift junior data scientists, setting standards for excellence

About You

You are a seasoned Data Scientist (5+ years) with deep hands‑on experience and a track record of delivering impactful ML and AI outcomes. You thrive in ambiguity, communicate exceptionally well, and enjoy partnering with cross‑functional teams to deliver measurable results.

You balance scientific rigour with practical execution, and you bring a curiosity that keeps you constantly exploring new research—especially in the fast‑moving LLM space.

You’ll be successful if you have:

• A Master’s or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline
• Experience from within AI sector, ideally agentic AI
• Strong experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
• Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi‑agent frameworks, GPT‑based systems)
• Python experience focused on machine learning and NLP; knowledge of other software languages is highly beneficial
• Ability to translate complex technical concepts into clear, actionable insights for non‑technical stakeholders
• Empathy, humility, and a growth mindset—open to feedback and committed to collaboration
• Comfort working in an agile, fast‑evolving environment

Why Join Us?

• A high‑performance culture
• State‑of‑the‑art technology
• Experience world‑class leadership
• Scale of impact and purpose
• A competitive salary and a huge growth trajectory
• Work with the best in the industry
• Flexible work environment
• Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in‑house and the best way for candidates to express interest is by applying with your resume through our company website.

As set forth in Future Secure AI’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.