Architect – Life Sciences
Take ownership of the technology strategy for the future of Life Sciences research. Work alongside cross‑functional technical teams to shape best‑practice, AI‑enabled solutions at scale.
Responsibilities
- Own the Chemistry Domain architecture: define, document and evolve the technology strategy and roadmap for Reaxys and our wider Chemistry Solutions, aligned to business goals and to enterprise standards working closely with the Lead Architect for Corporate Markets.
- Partner closely with the Lead Architect and fellow domain architects to provide consultancy, leadership and clear communication, and to champion software engineering and architectural best practice across teams.
- Drive AI and data innovation: guide the responsible application of generative AI, large language models, machine learning and knowledge‑graph technologies to chemistry data, search and discovery use cases.
- Provide design and architecture governance: review changes, development projects and technical evaluations, ensuring solutions are scalable, secure, maintainable and cost‑effective.
- Monitor domain health: track the design and operational health of the Chemistry Domain and write proposals to address risks, technical debt and emerging needs.
- Research and assess industry and technology advancements to identify opportunities to advance our technical capabilities and create new solutions in the chemistry space.
- Embed security and compliance: develop robust information‑security and data‑governance practices so we respond quickly and effectively to enterprise security issues.
- Lead troubleshooting: lead cross‑functional teams to identify, research and coordinate the resources needed to diagnose and resolve complex Chemistry Domain issues.
- Other duties as assigned.
Qualifications
- Significant experience in software, network or systems architecture, with a strong grasp of architectural design, patterns and governance.
- Good working knowledge of more than one programming language.
- Practical, current experience applying AI/ML technologies – generative AI and large language models, retrieval‑augmented generation, natural language processing, information retrieval or data mining – ideally at scale.
- Solid working knowledge of several of: cloud‑native and distributed architectures (AWS, Azure or GCP), microservices and APIs, large‑scale data platforms and databases, knowledge graphs and linked data, semantic search, and high‑performance or parallel processing.
- Familiarity with modern data and ML engineering practices such as CI/CD, infrastructure‑as‑code, containerisation and MLOps.
- Strong written, verbal and presentation skills, including communicating complex technical content to technical and non‑technical audiences alike.
- A track record of contribution to complex technology projects in a global, matrixed environment.
- A natural ability to engage, influence and build relationships with stakeholders, teams and vendors across the business.
- A background or genuine interest in chemistry, life sciences or scientific data is highly desirable.
Benefits
- Comprehensive Health Insurance: Covers you, your immediate family, and parents.
- Enhanced Health Insurance Options: Competitive rates negotiated by the company.
- Group Life Insurance: Ensuring financial security for your loved ones.
- Group Accident Insurance: Extra protection for accidental death and permanent disablement.
- Flexible Working Arrangement: Achieve a harmonious work‑life balance.
- Employee Assistance Program: Access support for personal and work‑related challenges.
- Medical Screening: Your well‑being is a top priority.
- Modern Family Benefits: Maternity, paternity, and adoption support.
- Long‑Service Awards: Recognizing dedication and commitment.
- New Baby Gift: Celebrating the joy of parenthood.
- Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
- Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
- Free Transport pick up and drop from the home – office – home (Applicable for Bangalore & Chennai).
Equality, Diversity & Inclusion
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.